From d59f49bde5d12290e89749a7e253cec4eaca05e3 Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Wed, 29 Jan 2025 10:58:20 +0000 Subject: [PATCH 01/15] p2p distributed optimization examples --- .../distributed_optimization/.gitignore | 3 + .../distributed_optimization/README.md | 464 +++++++++ .../examples/1-consensus/README.md | 2 + .../1-consensus/consensus_notebook.ipynb | 980 ++++++++++++++++++ .../examples/1-consensus/launcher.py | 51 + .../examples/2-two_moons/README.md | 28 + .../examples/2-two_moons/config.py | 3 + .../examples/2-two_moons/dgd_results.png | Bin 0 -> 81201 bytes .../examples/2-two_moons/gt_results.png | Bin 0 -> 74175 bytes .../examples/2-two_moons/gtadam_results.png | Bin 0 -> 46487 bytes .../examples/2-two_moons/launcher_dgd.py | 50 + .../examples/2-two_moons/launcher_gt.py | 48 + .../examples/2-two_moons/launcher_gtadam.py | 54 + .../examples/2-two_moons/utils.py | 90 ++ .../examples/3-mnist/README.md | 32 + .../examples/3-mnist/config.py | 3 + 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create mode 100644 examples/advanced/distributed_optimization/.gitignore create mode 100644 examples/advanced/distributed_optimization/README.md create mode 100644 examples/advanced/distributed_optimization/examples/1-consensus/README.md create mode 100644 examples/advanced/distributed_optimization/examples/1-consensus/consensus_notebook.ipynb create mode 100644 examples/advanced/distributed_optimization/examples/1-consensus/launcher.py create mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/README.md create mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/config.py create mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/dgd_results.png create mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/gt_results.png create mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/gtadam_results.png create mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/launcher_dgd.py create mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gt.py create mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gtadam.py create mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/utils.py create mode 100644 examples/advanced/distributed_optimization/examples/3-mnist/README.md create mode 100644 examples/advanced/distributed_optimization/examples/3-mnist/config.py create mode 100644 examples/advanced/distributed_optimization/examples/3-mnist/dgd_results.png create mode 100644 examples/advanced/distributed_optimization/examples/3-mnist/gt_results.png create mode 100644 examples/advanced/distributed_optimization/examples/3-mnist/gtadam_results.png create mode 100644 examples/advanced/distributed_optimization/examples/3-mnist/launcher_dgd.py create mode 100644 examples/advanced/distributed_optimization/examples/3-mnist/launcher_gt.py create mode 100644 examples/advanced/distributed_optimization/examples/3-mnist/launcher_gtadam.py create mode 100644 examples/advanced/distributed_optimization/examples/3-mnist/utils.py create mode 100644 examples/advanced/distributed_optimization/nvdo/__init__.py create mode 100644 examples/advanced/distributed_optimization/nvdo/controllers/__init__.py create mode 100644 examples/advanced/distributed_optimization/nvdo/controllers/base.py create mode 100644 examples/advanced/distributed_optimization/nvdo/executors/__init__.py create mode 100644 examples/advanced/distributed_optimization/nvdo/executors/base.py create mode 100644 examples/advanced/distributed_optimization/nvdo/executors/consensus.py create mode 100644 examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py create mode 100644 examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py create mode 100644 examples/advanced/distributed_optimization/nvdo/executors/gtadam.py create mode 100644 examples/advanced/distributed_optimization/nvdo/types/__init__.py create mode 100644 examples/advanced/distributed_optimization/nvdo/utils/__init__.py create mode 100644 examples/advanced/distributed_optimization/nvdo/utils/config_generator.py create mode 100644 examples/advanced/distributed_optimization/nvdo/utils/metrics.py create mode 100644 examples/advanced/distributed_optimization/nvdo/utils/topology.py create mode 100644 examples/advanced/distributed_optimization/pyproject.toml diff --git a/examples/advanced/distributed_optimization/.gitignore b/examples/advanced/distributed_optimization/.gitignore new file mode 100644 index 0000000000..3fde4c99f7 --- /dev/null +++ b/examples/advanced/distributed_optimization/.gitignore @@ -0,0 +1,3 @@ +.mise.toml +tmp +data \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/README.md b/examples/advanced/distributed_optimization/README.md new file mode 100644 index 0000000000..2c942e999c --- /dev/null +++ b/examples/advanced/distributed_optimization/README.md @@ -0,0 +1,464 @@ +# P2P Distributed Optimization algorithms with NVFlare + +Here we show how to exploit the lower-level NVFlare APIs to implement P2P distributed optimization algorithms. We built a collection of distributed optimization algorithms built on top of NVFlare with examples. Below you can find a walkthrough of the implementation. + +The following algorithms are currently implemented: +- Consensus algorithm - initially published in [DeGroot, M. H. (1974). Reaching a Consensus. Journal of the American Statistical Association, 69(345), 118–121.](https://www.jstor.org/stable/2285509) +- Distributed (stochastic) gradient descent [Tsitsiklis, J., Bertsekas, D., & Athans, M. (1986). Distributed asynchronous deterministic and stochastic gradient optimization algorithms. IEEE transactions on automatic control, 31(9), 803-812.](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1104412) and [Sundhar Ram, S., Nedić, A., & Veeravalli, V. V. (2010). Distributed stochastic subgradient projection algorithms for convex optimization. Journal of optimization theory and applications, 147, 516-545.](https://arxiv.org/pdf/0811.2595) +- (Stochastic) gradient tracking [Pu, S., & Nedić, A. (2021). Distributed stochastic gradient tracking methods. Mathematical Programming, 187(1), 409-457.](https://arxiv.org/pdf/1805.11454) +- GTAdam [Carnevale, G., Farina, F., Notarnicola, I., & Notarstefano, G. (2022). GTAdam: Gradient tracking with adaptive momentum for distributed online optimization. IEEE Transactions on Control of Network Systems, 10(3), 1436-1448.](https://ieeexplore.ieee.org/abstract/document/9999485) + +## Installation +We packaged the implementation of the algorithms under the `nvdo` namespace. To install it, you can use the following command: + +```shell +pip install -e . +``` + +## Examples +Examples for the different algorithms on different problems can be found in the `examples` folder with with instructions and results. + + +## Implementation walkthrough +Let's now walk through how to use NVFlare to implement custom peer-to-peer (P2P) algorithms, opening the road to easily implement custom distributed optimization and swarm learning workflows. +Specifically, we'll delve into using some lower-level NVFlare APIs to create a controllers and executors, which serve as the backbone for orchestrating communication and computation across different nodes (clients) in a distributed setup. +As an example, we'll demonstrate how to implement a consensus algorithm using these components and we'll show it in action in the next notebook. + +As said, the final implementation is packaged under the `nvdo` namespace (see the [Installation](#installation) section above) - we'll refer to the specific files along the notebook. + +### Introduction + +In peer-to-peer (P2P) algorithms, being distributed optimization or decentralized federated learning algorithms, clients communicate directly with each other without relying on a central server to aggregate updates. Implementing P2P algorithms usually requires careful orchestration to handle communication, synchronization, and data exchange among clients. + +Thankfully, NVFlare natively provides the primitives to easily build such a system. + +#### Exploiting NVFlare low-level APIs +NVFlare natively supports various communication and orchestration patterns, including peer-to-peer interactions, which are crucial for decentralized algorithms. + +To implement custom P2P/distributed optimization algorithms, we'll delve into its lower level APIs to build a framework facilitate building P2P algorithms. In particular, we'll use + +- [Controllers](https://nvflare.readthedocs.io/en/2.5/apidocs/nvflare.apis.impl.controller.html#module-nvflare.apis.impl.controller): Server-side components that manage job execution and orchestrate tasks. +- [Executors](https://nvflare.readthedocs.io/en/2.5/apidocs/nvflare.apis.executor.html#module-nvflare.apis.executor): Client-side components that perform computations and handle tasks received from the controller. +- [Messages via aux channes](https://nvflare.readthedocs.io/en/2.5/apidocs/nvflare.private.aux_runner.html#nvflare.private.aux_runner.AuxRunner.send_aux_request): Custom messages that enable direct communication between clients. + +#### What to expect +We'll start by defining a way to easily define and share configurations across the network. Then we'll implement a base controller and executor, serving as the backbone to implement arbitrary p2p algorithms. Finally we'll build upon the base executor to implement a specific algorithm, the Consensus algorithm. + +### Pythonic configs + +Before we dive into the controller and executor, let's start by creating a Pythonic way to define the configuration of our network. We'll start by simply defining a `Node` (i.e. a client in the network), its `Neighbors` (i.e. other clients with which a client communicates, each with a weight) and combine them to define a `Network` (i.e. a network of clients with neighbors). + +```python +from dataclasses import dataclass, field + +@dataclass +class Neighbor: + id: int | str + weight: float | None = None + +@dataclass +class Node: + id: int | str + neighbors: list[Neighbor] = field(default_factory=list) + +@dataclass +class Network: + nodes: list[Node] = field(default_factory=list) +``` + +Then we'll define a global and a local config objects to be passed to the controller and executors respectively. + +```python +@dataclass +class Config: + network: Network + extra: dict = field(default_factory=dict) + +@dataclass +class LocalConfig: + neighbors: list[Neighbor] + extra: dict = field(default_factory=dict) +``` + +The `extra` parameter can be used to pass additional parameters, usually specific for the various algorithms. + +To actual implementation of the objects above can be found in `nvdo/types/__init__.py` (you'll see they'll have the `__dict__` and `__post_init__` methods defined facilitate serializing and deserializing them, which is needed for NVFlare). + +Here's an example of a ring network with 3 clients, running an algorithm for 100 iterations: +```shell +Config( + extra={"iterations":100}, + network=Network( + nodes=[ + Node( + id='site-1', + neighbors=[ + Neighbor(id='site-2', weight=0.1), + ] + ), + Node( + id='site-2', + neighbors=[ + Neighbor(id='site-3', weight=0.1), + ] + ), + Node( + id='site-3', + neighbors=[ + Neighbor(id='site-1', weight=0.1), + ] + ), + ] + ) +) +``` + +### The controller + +In NVFlare, a `Controller` is a server-side component that manages the job execution and orchestration of tasks. Here, since we're running a P2P algorithm, we'll implement a custom controller whose main job is to load and broadcast the network configuration, and initiate/terminate the execution of a P2P algorithm. Let's call it `AlgorithmController`. As a subclass of `Controller`, it must implement 3 methods: + +- `start_controller` which is called at the beginning of the run +- `control_flow` defining the main control flow of the controller (in this case, broadcasting the configuration and asking clients to run the algorithm) +- `stop_controller`, called at the end of the run + +```python +from nvflare.apis.impl.controller import Controller + +class AlgorithmController(Controller): + + def control_flow(self, abort_signal: Signal, fl_ctx: FLContext): + # Broadcast configuration to clients + ... + + # Run the algorithm + ... + + def start_controller(self, fl_ctx: FLContext): + pass + + def stop_controller(self, fl_ctx: FLContext): + pass +``` + +We won't do anything fancy during the start and stop phase, so let's focus on the `control_flow` and implement the two steps. To do so, we first need to override the `__init__` method to take a `Config` object as an argument. + +```python +from nvdo.types import Config + +class AlgorithmController(Controller): + def __init__( + self, + config: Config, + *args, + **kwargs, + ): + super().__init__(*args, **kwargs) + self.config = config + + ... +``` + +Now, in the `control_flow` method we can send the local configurations to each client and, once they receive them, ask them to run the algorithm. We'll do so by sending `Task`s to each client. In NVFlare, a `Task` is a piece of work that is assigned by the Controller to client workers. Depending on how the task is assigned (broadcast, send, or relay), the task will be performed by one or more clients. + +In fact, one one hand, we'll use the `send_and_wait` method to send the `"config"` task to each client, since each client will potentially have a different config (because of different neighbors); on the other hand, to run the algorith, we'll use the `broadcast_and_wait`, which broadcasts the same `"run_algorithm"` task to all clients and waits for all clients to respond/complete the task. As you see, each task specifies a `name` - in this case, `"config"` and `"run_algorithm"` - let's remember those as they'll need to be the same in the control flow of each client. + + +```python +from nvflare.apis.controller_spec import Task +from nvflare.apis.dxo import DXO, DataKind +from nvflare.apis.fl_context import FLContext +from nvflare.apis.signal import Signal + +class AlgorithmController(Controller): + + ... + + def control_flow(self, abort_signal: Signal, fl_ctx: FLContext): + # Send network config (aka neighors info) to each client + for node in self.config.network.nodes: + task = Task( + name="config", + data=DXO( + data_kind=DataKind.METRICS, + data={"neighbors": [n.__dict__ for n in node.neighbors]}, + ).to_shareable(), + ) + self.send_and_wait(task=task, targets=[node.id], fl_ctx=fl_ctx) + + # Run algorithm (with extra params if any passed as data) + targets = [node.id for node in self.config.network.nodes] + self.broadcast_and_wait( + task=Task( + name="run_algorithm", + data=DXO( + data_kind=DataKind.METRICS, + data={key: value for key, value in self.config.extra.items()}, + ).to_shareable(), + ), + targets=targets, + min_responses=0, + fl_ctx=fl_ctx, + ) + + ... +``` + +And that's it, our `AlgorithmController` is ready. The complete implementation of the `AlgorithmController` can be found in `nvdo/controllers/base.py`. + +### The executor + +Now that we have our `AlgorithmController`, it's time to take care of the actual execution of the algorithm at the client level - we'll build on top of the NVFlare `Executor` to do to that. + +In NVFlare, an `Executor` is a client-side component that handles tasks received from the controller and executes them. For our purposes we'll need our executor to be able to do a few things: +- receive the config from the server/controller +- communicate with its neighbors and send/receive messages to/from them +- run the algorithm + +For the moment, we'll focus on synchronous algorithms only, meaning that the clients will need to run the iterations of an algorithm in a synchronous way. Let' call our executor `SynchronousAlgorithmExecutor`. +The only method that must be implemented in this case is the `execute` method, which takes the `task_name` and `shareable` sent from the controller as inputs. + +```python +from nvflare.apis.executor import Executor +from nvflare.apis.fl_constant import ReturnCode +from nvflare.apis.fl_context import FLContext +from nvflare.apis.shareable import Shareable, make_reply + + +class SynchronousAlgorithmExecutor(Executor): + + def execute( + self, + task_name: str, + shareable: Shareable, + fl_ctx: FLContext, + abort_signal: Signal, + ): + if task_name == "config": + # TODO: receive and store config + ... + return make_reply(ReturnCode.OK) + + elif task_name == "run_algorithm": + # TODO: run the algorithm + return make_reply(ReturnCode.OK) + else: + self.log_warning(fl_ctx, f"Unknown task name: {task_name}") + return make_reply(ReturnCode.TASK_UNKNOWN) +``` + +Let's focus on the execution of the `"config"` task - for this we can just create some attributes to store the config and the neighbors (and the local weight computed from them). + +```python +from nvflare.apis.dxo import from_shareable +from nvdo.types import LocalConfig, Neighbor + + +class SynchronousAlgorithmExecutor(Executor): + def __init__(self): + super().__init__() + + self.config = None + self._weight = None + self.neighbors: list[Neighbor] = [] + + + def execute( + self, + task_name: str, + shareable: Shareable, + fl_ctx: FLContext, + abort_signal: Signal, + ): + if task_name == "config": + # Receive and store config + self.config = LocalConfig(**from_shareable(shareable).data) + self.neighbors = self.config.neighbors + self._weight = 1.0 - sum([n.weight for n in self.neighbors]) + return make_reply(ReturnCode.OK) + + elif task_name == "run_algorithm": + # TODO: run the algorithm + return make_reply(ReturnCode.OK) + else: + self.log_warning(fl_ctx, f"Unknown task name: {task_name}") + return make_reply(ReturnCode.TASK_UNKNOWN) +``` + +That was relatively easy - so, now to the slightly more challenging part of letting clients communicate with each other. +To do that we'll do a few things: +- we'll use the `send_aux_request` method to let a client send a message to its neighbors +- we'll need to register a callback to handle received messages (via the `register_aux_message_handler` function) and add an attribute `neighbors_values` to store received values. We'll call the callback `_handle_neighbor_value` and the registration will be done in the `handle_event` method at start time (i.e., when receiving the `EventType.START_RUN` event). Other events can be handled in the same way if needed. +- we'll use threading events and locks to synchronize the execution of the algorithm (making each client, when sending a message, wait to have received the messages of all its neighbors before sending the next message) +- we'll add two methods, `_from_message` and `_to_message` to convert between the message exchange formats (which will need to be overridden in subclasses, based on the algorithm) + +The main message exchange will be done in the `_exchange_values` function. + +```python +import threading +from abc import abstractmethod +from collections import defaultdict + +from nvflare.apis.dxo import DXO, DataKind +from nvflare.apis.event_type import EventType +from nvflare.apis.signal import Signal + + +class SynchronousAlgorithmExecutor(Executor): + def __init__(self): + super().__init__() + ... # other attributes + + self.neighbors_values = defaultdict(dict) + + self.sync_waiter = threading.Event() + self.lock = threading.Lock() + + + def _exchange_values(self, fl_ctx: FLContext, value: any, iteration: int): + engine = fl_ctx.get_engine() + + # Clear the event before starting the exchange + self.sync_waiter.clear() + + # Send message to neighbors + _ = engine.send_aux_request( + targets=[neighbor.id for neighbor in self.neighbors], + topic="send_value", + request=DXO( + data_kind=DataKind.METRICS, + data={ + "value": self._to_message(value), + "iteration": iteration, + }, + ).to_shareable(), + timeout=10, + fl_ctx=fl_ctx, + ) + + # check if all neighbors sent their values + if len(self.neighbors_values[iteration]) < len(self.neighbors): + # if not, wait for them, max 10 seconds + if not self.sync_waiter.wait(timeout=10): + self.system_panic("failed to receive values from all neighbors", fl_ctx) + return + + def _handle_neighbor_value( + self, topic: str, request: Shareable, fl_ctx: FLContext + ) -> Shareable: + sender = request.get_peer_props()["__identity_name__"] + data = from_shareable(request).data + iteration = data["iteration"] + + with self.lock: + self.neighbors_values[iteration][sender] = self._from_message(data["value"]) + # Check if all neighbor values have been received + if len(self.neighbors_values[iteration]) >= len(self.neighbors): + self.sync_waiter.set() # Signal that we have all neighbor values + return make_reply(ReturnCode.OK) + + def handle_event(self, event_type: str, fl_ctx: FLContext): + if event_type == EventType.START_RUN: + engine = fl_ctx.get_engine() + + engine.register_aux_message_handler( + topic="send_value", message_handle_func=self._handle_neighbor_value + ) + + def _to_message(self, x): + return x + + def _from_message(self, x): + return x + +``` + +That's it for the synchronous message exchange. Notice that `neighbors_values` needs to maintain a dictionary of received values per iteration. +This is because, different parts of a network may be at different iterations of the algorithm (plus or minus 1 at most) - this means that I could receive a message from a neighbor valid for iteration `t+1` when I'm still at iteration `t`. Since that message won't be sent again, I need to store it. To avoid the `neighbors_values` to grow indefinitely, we'll delete its content at iteration `t` after having consumed its values and moving to the next iteration in the algorithm. We'll see that in the next section. + +Moving forward, now that we have a way to store the config and exchange messages with the neighbors, we can move on to implementing the algorithmic part. For this base `SynchronousAlgorithmExecutor`, we'll just implement the main logic in the `execute` method, based on an abstract `run_algorithm` to be overridden by each specific algorithm. + +```python +class SynchronousAlgorithmExecutor(Executor): + + ... + + def execute( + self, + task_name: str, + shareable: Shareable, + fl_ctx: FLContext, + abort_signal: Signal, + ): + if task_name == "config": + # Receive topology from the server + self._load_config(shareable, fl_ctx) + return make_reply(ReturnCode.OK) + + elif task_name == "run_algorithm": + self.run_algorithm(fl_ctx, shareable, abort_signal) + return make_reply(ReturnCode.OK) + else: + self.log_warning(fl_ctx, f"Unknown task name: {task_name}") + return make_reply(ReturnCode.TASK_UNKNOWN) + + @abstractmethod + def run_algorithm( + self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal + ): + """Executes the algorithm""" + pass + + ... +``` + +And that's all. The full implementation is in `nvdo/executors/base.py` - note that the implementation in `nvdo` is split between a `BaseAlgorithmExecutor` and the `SynchronousAlgorithmExecutor`. It contains a few additional attributes (namely `self.id` and `self.client_name`) to identify the client, which are potentially useful in algorithms, and two additional methods `_pre_algorithm_run` and `_post_algorithm_run` to be overridden by each specific algorithm to execute some code before and after the algorithm execution, respectively. + +### An example: the `ConsensusExecutor` + +Now that we have built all the main foundations, we can easily implement any custom P2P algorithm. For example, let's implement a slightly simplified version of the `ConsensusExecutor` that will be used in the next section and whose full implementation is in `nvdo/executors/consensus.py`. + +```python +import torch + +class ConsensusExecutor(SynchronousAlgorithmExecutor): + + def __init__( + self, + initial_value: float | None = None, + ): + super().__init__() + if initial_value is None: + initial_value = random.random() + self.current_value = initial_value + self.value_history = [self.current_value] + + def run_algorithm(self, fl_ctx, shareable, abort_signal): + iterations = from_shareable(shareable).data["iterations"] + + for iteration in range(iterations): + # 1. exchange values + self._exchange_values( + fl_ctx, value=self.current_value, iteration=iteration + ) + + # 2. compute new value + current_value = self.current_value * self._weight + for neighbor in self.neighbors: + current_value += ( + self.neighbors_values[iteration][neighbor.id] * neighbor.weight + ) + + # 3. store current value + self.current_value = current_value + + # free memory that's no longer needed + del self.neighbors_values[iteration] + +``` + +It's basically just a matter of implementing the algorithm logic in the `run_algorithm` method. + +### Summary +We have shown how to use NVFlare to implement custom peer-to-peer (P2P) algorithms. We have packaged the implementation in the main repository under the `nvdo` namespace. + +You can find usage examples in the `examples` folder, from a simple consensus algorithm, to training classifiers on the MNIST dataset. \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/examples/1-consensus/README.md b/examples/advanced/distributed_optimization/examples/1-consensus/README.md new file mode 100644 index 0000000000..4de2902583 --- /dev/null +++ b/examples/advanced/distributed_optimization/examples/1-consensus/README.md @@ -0,0 +1,2 @@ +# Consensus algorithm +In this example we show how to run the consensus algorithm. You can find a detailed walkthrough in the [notebook](consensus_notebook.ipynb) or you can just run the provided [script](launcher.py) via `python launcher.py`. \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/examples/1-consensus/consensus_notebook.ipynb b/examples/advanced/distributed_optimization/examples/1-consensus/consensus_notebook.ipynb new file mode 100644 index 0000000000..f7f02ae45d --- /dev/null +++ b/examples/advanced/distributed_optimization/examples/1-consensus/consensus_notebook.ipynb @@ -0,0 +1,980 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Consensus algorithm" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this example we'll show how to run a simple consensus algorithm.\n", + "\n", + "## Background\n", + "\n", + "We consider a network of `num_clients` peer clients. Each client $i$ maintains some local value $x_i^t$ and is connected to a subset of the other clients in the network, defined as the set of its neighbors $\\mathcal{N}_i$.\n", + "\n", + "The goal of all the clients is to reach consensus on their local values by communicating with their peers for a certain number of iterations $T$. \n", + "In other terms, they want to cooperatively compute a weighted average of their initial values $x_i^0$.\n", + "\n", + "The consensus algorithm works by having each client updating its local value as\n", + "\n", + "$$x_i^{t+1} = \\sum_{j\\in\\mathcal{N}_i}a_{ji}x_j^t$$\n", + "\n", + "where $a_{ji}$ is the weight associated by client $i$ to client $j$ and $\\sum_{j=1}^N a_{ji}=1$ for all $i$." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup\n", + "Let's assume we have $N=5$ clients and generate a random configuration." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "from nvdo.utils.config_generator import generate_random_network\n", + "from nvdo.types import Config\n", + "\n", + "# generate random config\n", + "num_clients=5\n", + "network, adjacency_matrix = generate_random_network(num_clients=num_clients)\n", + "config = Config(network=network, extra={\"iterations\": 50})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By inspecting the config we can see the initial values of each client as well as the network topology." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Config(\n",
+       "    network=Network(\n",
+       "        nodes=[\n",
+       "            Node(id='site-1', neighbors=[Neighbor(id='site-3', weight=0.3333333333333333)]),\n",
+       "            Node(\n",
+       "                id='site-2',\n",
+       "                neighbors=[\n",
+       "                    Neighbor(id='site-3', weight=0.3333333333333333),\n",
+       "                    Neighbor(id='site-4', weight=0.3333333333333333)\n",
+       "                ]\n",
+       "            ),\n",
+       "            Node(\n",
+       "                id='site-3',\n",
+       "                neighbors=[\n",
+       "                    Neighbor(id='site-1', weight=0.3333333333333333),\n",
+       "                    Neighbor(id='site-2', weight=0.3333333333333333)\n",
+       "                ]\n",
+       "            ),\n",
+       "            Node(\n",
+       "                id='site-4',\n",
+       "                neighbors=[\n",
+       "                    Neighbor(id='site-2', weight=0.3333333333333333),\n",
+       "                    Neighbor(id='site-5', weight=0.3333333333333333)\n",
+       "                ]\n",
+       "            ),\n",
+       "            Node(id='site-5', neighbors=[Neighbor(id='site-4', weight=0.3333333333333333)])\n",
+       "        ]\n",
+       "    ),\n",
+       "    extra={'iterations': 50}\n",
+       ")\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;35mConfig\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mnetwork\u001b[0m=\u001b[1;35mNetwork\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mnodes\u001b[0m=\u001b[1m[\u001b[0m\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m,\n", + " \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m\n", + " \u001b[1m]\u001b[0m\n", + " \u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m,\n", + " \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m\n", + " \u001b[1m]\u001b[0m\n", + " \u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m,\n", + " \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m\n", + " \u001b[1m]\u001b[0m\n", + " \u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n", + " \u001b[1m]\u001b[0m\n", + " \u001b[1m)\u001b[0m,\n", + " \u001b[33mextra\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'iterations'\u001b[0m: \u001b[1;36m50\u001b[0m\u001b[1m}\u001b[0m\n", + "\u001b[1m)\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from rich import print\n", + "\n", + "print(config)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Instantiating and running the distributed algorithm\n", + "\n", + "Now that we have all the configurations, we can instantiate the clients and a controller." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "from nvflare.job_config.api import FedJob\n", + "from nvdo.executors import ConsensusExecutor\n", + "from nvdo.controllers import AlgorithmController\n", + "\n", + "# Create job\n", + "job = FedJob(name=\"consensus\")\n", + "\n", + "# send controller to server\n", + "controller = AlgorithmController(config=config)\n", + "job.to_server(controller)\n", + "\n", + "# Add clients\n", + "for i in range(num_clients):\n", + " executor = ConsensusExecutor() # the executor will be initialized with a random value\n", + " job.to(executor, f\"site-{i+1}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can run the algorithm" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-01-29 09:52:48,639 - SimulatorRunner - INFO - Create the Simulator Server.\n", + "2025-01-29 09:52:48,642 - CoreCell - INFO - server: creating listener on tcp://0:52347\n", + "2025-01-29 09:52:48,681 - CoreCell - INFO - server: created backbone external listener for tcp://0:52347\n", + "2025-01-29 09:52:48,681 - ConnectorManager - INFO - 40803: Try start_listener Listener resources: {'secure': False, 'host': 'localhost'}\n", + "2025-01-29 09:52:48,682 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00002 PASSIVE tcp://0:12575] is starting\n", + "2025-01-29 09:52:49,183 - CoreCell - INFO - server: created backbone internal listener for tcp://localhost:12575\n", + "2025-01-29 09:52:49,183 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 PASSIVE tcp://0:52347] is starting\n", + "2025-01-29 09:52:49,184 - SimulatorServer - INFO - max_reg_duration=60.0\n", + "2025-01-29 09:52:49,214 - nvflare.fuel.hci.server.hci - INFO - Starting Admin Server localhost on Port 52348\n", + "2025-01-29 09:52:49,214 - SimulatorRunner - INFO - Deploy the Apps.\n", + "2025-01-29 09:52:49,271 - SimulatorRunner - INFO - Create the simulate clients.\n", + "2025-01-29 09:52:49,273 - Communicator - INFO - Trying to register with server ...\n", + "2025-01-29 09:52:49,274 - ClientManager - INFO - authenticated client site-1\n", + "2025-01-29 09:52:49,274 - ClientManager - INFO - Client: New client site-1@10.2.185.164 joined. Sent token: 52a5b8f8-7212-4b8d-9030-ac9f114421fa. Total clients: 1\n", + "2025-01-29 09:52:49,274 - Communicator - INFO - register RC: ok\n", + "2025-01-29 09:52:49,274 - FederatedClient - INFO - Successfully registered client:site-1 for project simulator_server. Token:52a5b8f8-7212-4b8d-9030-ac9f114421fa SSID:\n", + "2025-01-29 09:52:49,274 - Communicator - INFO - Trying to register with server ...\n", + "2025-01-29 09:52:49,275 - ClientManager - INFO - authenticated client site-2\n", + "2025-01-29 09:52:49,275 - ClientManager - INFO - Client: New client site-2@10.2.185.164 joined. Sent token: 7f091ff0-d372-4f6a-ab12-7abea650e0ed. Total clients: 2\n", + "2025-01-29 09:52:49,275 - Communicator - INFO - register RC: ok\n", + "2025-01-29 09:52:49,275 - FederatedClient - INFO - Successfully registered client:site-2 for project simulator_server. Token:7f091ff0-d372-4f6a-ab12-7abea650e0ed SSID:\n", + "2025-01-29 09:52:49,275 - Communicator - INFO - Trying to register with server ...\n", + "2025-01-29 09:52:49,275 - ClientManager - INFO - authenticated client site-3\n", + "2025-01-29 09:52:49,275 - ClientManager - INFO - Client: New client site-3@10.2.185.164 joined. Sent token: 17b50b63-378d-402c-9537-1d09edf1d9b5. Total clients: 3\n", + "2025-01-29 09:52:49,275 - Communicator - INFO - register RC: ok\n", + "2025-01-29 09:52:49,276 - FederatedClient - INFO - Successfully registered client:site-3 for project simulator_server. Token:17b50b63-378d-402c-9537-1d09edf1d9b5 SSID:\n", + "2025-01-29 09:52:49,276 - Communicator - INFO - Trying to register with server ...\n", + "2025-01-29 09:52:49,276 - ClientManager - INFO - authenticated client site-4\n", + "2025-01-29 09:52:49,276 - ClientManager - INFO - Client: New client site-4@10.2.185.164 joined. Sent token: 8cd02ee9-686e-4f58-9e18-10b48a4f0239. Total clients: 4\n", + "2025-01-29 09:52:49,276 - Communicator - INFO - register RC: ok\n", + "2025-01-29 09:52:49,276 - FederatedClient - INFO - Successfully registered client:site-4 for project simulator_server. Token:8cd02ee9-686e-4f58-9e18-10b48a4f0239 SSID:\n", + "2025-01-29 09:52:49,277 - Communicator - INFO - Trying to register with server ...\n", + "2025-01-29 09:52:49,277 - ClientManager - INFO - authenticated client site-5\n", + "2025-01-29 09:52:49,277 - ClientManager - INFO - Client: New client site-5@10.2.185.164 joined. Sent token: d757d2ec-68a5-40a4-808f-9f5dc141903d. Total clients: 5\n", + "2025-01-29 09:52:49,277 - Communicator - INFO - register RC: ok\n", + "2025-01-29 09:52:49,277 - FederatedClient - INFO - Successfully registered client:site-5 for project simulator_server. Token:d757d2ec-68a5-40a4-808f-9f5dc141903d SSID:\n", + "2025-01-29 09:52:49,277 - SimulatorRunner - INFO - Set the client status ready.\n", + "2025-01-29 09:52:49,277 - SimulatorRunner - INFO - Deploy and start the Server App.\n", + "2025-01-29 09:52:49,278 - Cell - INFO - Register blob CB for channel='server_command', topic='*'\n", + "2025-01-29 09:52:49,278 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", + "2025-01-29 09:52:49,278 - ServerCommandAgent - INFO - ServerCommandAgent cell register_request_cb: server.simulate_job\n", + "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic __sync_runner__\n", + "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic __job_heartbeat__\n", + "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic __task_check__\n", + "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", + "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", + "2025-01-29 09:52:49,287 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", + "2025-01-29 09:52:49,287 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job]: Server runner starting ...\n", + "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic fed.event\n", + "2025-01-29 09:52:49,287 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job]: starting workflow controller () ...\n", + "2025-01-29 09:52:49,287 - AlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: BaseController started\n", + "2025-01-29 09:52:49,287 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: Workflow controller () started\n", + "2025-01-29 09:52:49,287 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", + "2025-01-29 09:52:50,281 - SimulatorClientRunner - INFO - Start the clients run simulation.\n", + "2025-01-29 09:52:51,282 - SimulatorClientRunner - INFO - Simulate Run client: site-1 on GPU group: None\n", + "2025-01-29 09:52:51,282 - SimulatorClientRunner - INFO - Simulate Run client: site-2 on GPU group: None\n", + "2025-01-29 09:52:51,282 - SimulatorClientRunner - INFO - Simulate Run client: site-3 on GPU group: None\n", + "2025-01-29 09:52:51,282 - SimulatorClientRunner - INFO - Simulate Run client: site-4 on GPU group: None\n", + "2025-01-29 09:52:51,288 - SimulatorClientRunner - INFO - Simulate Run client: site-5 on GPU group: None\n", + "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", + "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", + "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", + "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", + "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", + "2025-01-29 09:52:52,341 - CoreCell - INFO - site-5.simulate_job: created backbone external connector to tcp://localhost:52347\n", + "2025-01-29 09:52:52,341 - CoreCell - INFO - site-2.simulate_job: created backbone external connector to tcp://localhost:52347\n", + "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", + "2025-01-29 09:52:52,341 - CoreCell - INFO - site-3.simulate_job: created backbone external connector to tcp://localhost:52347\n", + "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", + "2025-01-29 09:52:52,341 - CoreCell - INFO - site-4.simulate_job: created backbone external connector to tcp://localhost:52347\n", + "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", + "2025-01-29 09:52:52,341 - CoreCell - INFO - site-1.simulate_job: created backbone external connector to tcp://localhost:52347\n", + "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", + "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", + "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52432 => 127.0.0.1:52347] is created: PID: 40816\n", + "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52433 => 127.0.0.1:52347] is created: PID: 40817\n", + "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52434 => 127.0.0.1:52347] is created: PID: 40818\n", + "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52431 => 127.0.0.1:52347] is created: PID: 40814\n", + "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52435 => 127.0.0.1:52347] is created: PID: 40815\n", + "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00008 127.0.0.1:52347 <= 127.0.0.1:52432] is created: PID: 40803\n", + "2025-01-29 09:52:52,343 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00009 127.0.0.1:52347 <= 127.0.0.1:52433] is created: PID: 40803\n", + "2025-01-29 09:52:52,343 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00010 127.0.0.1:52347 <= 127.0.0.1:52434] is created: PID: 40803\n", + "2025-01-29 09:52:52,343 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00011 127.0.0.1:52347 <= 127.0.0.1:52431] is created: PID: 40803\n", + "2025-01-29 09:52:52,343 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00012 127.0.0.1:52347 <= 127.0.0.1:52435] is created: PID: 40803\n", + "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", + "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", + "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", + "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", + "2025-01-29 09:52:52,465 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", + "2025-01-29 09:52:52,465 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", + "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", + "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", + "2025-01-29 09:52:52,465 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", + "2025-01-29 09:52:52,466 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", + "2025-01-29 09:52:52,466 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", + "2025-01-29 09:52:52,467 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", + "2025-01-29 09:52:52,467 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", + "2025-01-29 09:52:52,467 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", + "2025-01-29 09:52:52,467 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", + "2025-01-29 09:52:52,972 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", + "2025-01-29 09:52:52,972 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", + "2025-01-29 09:52:52,972 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", + "2025-01-29 09:52:52,972 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", + "2025-01-29 09:52:52,974 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", + "2025-01-29 09:52:52,982 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: synced to Server Runner in 0.5146529674530029 seconds\n", + "2025-01-29 09:52:52,982 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", + "2025-01-29 09:52:52,982 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", + "2025-01-29 09:52:52,983 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", + "2025-01-29 09:52:52,983 - AuxRunner - INFO - registered aux handler for topic send_value\n", + "2025-01-29 09:52:52,983 - AuxRunner - INFO - registered aux handler for topic fed.event\n", + "2025-01-29 09:52:52,983 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: client runner started\n", + "2025-01-29 09:52:52,984 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-4\n", + "2025-01-29 09:52:52,984 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: synced to Server Runner in 0.5164279937744141 seconds\n", + "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", + "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", + "2025-01-29 09:52:52,985 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", + "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic send_value\n", + "2025-01-29 09:52:52,985 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: synced to Server Runner in 0.5183467864990234 seconds\n", + "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic fed.event\n", + "2025-01-29 09:52:52,985 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: client runner started\n", + "2025-01-29 09:52:52,985 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-5\n", + "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", + "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", + "2025-01-29 09:52:52,986 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: synced to Server Runner in 0.5172262191772461 seconds\n", + "2025-01-29 09:52:52,986 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", + "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", + "2025-01-29 09:52:52,986 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: synced to Server Runner in 0.5189590454101562 seconds\n", + "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", + "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", + "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic send_value\n", + "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", + "2025-01-29 09:52:52,986 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", + "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic fed.event\n", + "2025-01-29 09:52:52,986 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: client runner started\n", + "2025-01-29 09:52:52,986 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-2\n", + "2025-01-29 09:52:52,986 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", + "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic send_value\n", + "2025-01-29 09:52:52,987 - AuxRunner - INFO - registered aux handler for topic fed.event\n", + "2025-01-29 09:52:52,987 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: client runner started\n", + "2025-01-29 09:52:52,987 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-1\n", + "2025-01-29 09:52:52,987 - AuxRunner - INFO - registered aux handler for topic send_value\n", + "2025-01-29 09:52:52,987 - AuxRunner - INFO - registered aux handler for topic fed.event\n", + "2025-01-29 09:52:52,987 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: client runner started\n", + "2025-01-29 09:52:52,987 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-3\n", + "2025-01-29 09:52:52,991 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: assigned task to client site-1: name=config, id=eff69353-3cd2-4d7f-8605-865b815810e6\n", + "2025-01-29 09:52:52,991 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: sent task assignment to client. client_name:site-1 task_id:eff69353-3cd2-4d7f-8605-865b815810e6\n", + "2025-01-29 09:52:52,991 - GetTaskCommand - INFO - return task to client. client_name: site-1 task_name: config task_id: eff69353-3cd2-4d7f-8605-865b815810e6 sharable_header_task_id: eff69353-3cd2-4d7f-8605-865b815810e6\n", + "2025-01-29 09:52:52,992 - Communicator - INFO - Received from simulator_server server. getTask: config size: 697B (697 Bytes) time: 0.004989 seconds\n", + "2025-01-29 09:52:52,992 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", + "2025-01-29 09:52:52,992 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=eff69353-3cd2-4d7f-8605-865b815810e6\n", + "2025-01-29 09:52:52,992 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:52,993 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: finished processing task\n", + "2025-01-29 09:52:52,993 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: try #1: sending task result to server\n", + "2025-01-29 09:52:52,993 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: checking task ...\n", + "2025-01-29 09:52:52,993 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:52,994 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: start to send task result to server\n", + "2025-01-29 09:52:52,994 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:52,995 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job]: got result from client site-1 for task: name=config, id=eff69353-3cd2-4d7f-8605-865b815810e6\n", + "2025-01-29 09:52:52,996 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: finished processing client result by controller\n", + "2025-01-29 09:52:52,996 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1 task_id:eff69353-3cd2-4d7f-8605-865b815810e6\n", + "2025-01-29 09:52:52,996 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.001696 seconds\n", + "2025-01-29 09:52:52,996 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: task result sent to server\n", + "2025-01-29 09:52:52,996 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\n", + "2025-01-29 09:52:53,156 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", + "2025-01-29 09:52:53,157 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", + "2025-01-29 09:52:53,501 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: assigned task to client site-2: name=config, id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", + "2025-01-29 09:52:53,501 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: sent task assignment to client. client_name:site-2 task_id:6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", + "2025-01-29 09:52:53,502 - GetTaskCommand - INFO - return task to client. client_name: site-2 task_name: config task_id: 6762b9e4-f062-4de8-80b3-c2ee6f0713fc sharable_header_task_id: 6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", + "2025-01-29 09:52:53,504 - Communicator - INFO - Received from simulator_server server. getTask: config size: 724B (724 Bytes) time: 0.008325 seconds\n", + "2025-01-29 09:52:53,505 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", + "2025-01-29 09:52:53,505 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", + "2025-01-29 09:52:53,506 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:53,506 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: finished processing task\n", + "2025-01-29 09:52:53,506 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: try #1: sending task result to server\n", + "2025-01-29 09:52:53,506 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: checking task ...\n", + "2025-01-29 09:52:53,507 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:53,510 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: start to send task result to server\n", + "2025-01-29 09:52:53,510 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:53,511 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job]: got result from client site-2 for task: name=config, id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", + "2025-01-29 09:52:53,512 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: finished processing client result by controller\n", + "2025-01-29 09:52:53,512 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2 task_id:6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", + "2025-01-29 09:52:53,513 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.002503 seconds\n", + "2025-01-29 09:52:53,513 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: task result sent to server\n", + "2025-01-29 09:52:53,513 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\n", + "2025-01-29 09:52:53,566 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", + "2025-01-29 09:52:53,764 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", + "2025-01-29 09:52:54,012 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: assigned task to client site-3: name=config, id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", + "2025-01-29 09:52:54,013 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: sent task assignment to client. client_name:site-3 task_id:cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", + "2025-01-29 09:52:54,013 - GetTaskCommand - INFO - return task to client. client_name: site-3 task_name: config task_id: cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6 sharable_header_task_id: cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", + "2025-01-29 09:52:54,015 - Communicator - INFO - Received from simulator_server server. getTask: config size: 724B (724 Bytes) time: 0.008097 seconds\n", + "2025-01-29 09:52:54,016 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", + "2025-01-29 09:52:54,016 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", + "2025-01-29 09:52:54,016 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:54,017 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: finished processing task\n", + "2025-01-29 09:52:54,017 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: try #1: sending task result to server\n", + "2025-01-29 09:52:54,017 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: checking task ...\n", + "2025-01-29 09:52:54,017 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:54,021 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: start to send task result to server\n", + "2025-01-29 09:52:54,021 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:54,022 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job]: got result from client site-3 for task: name=config, id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", + "2025-01-29 09:52:54,023 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: finished processing client result by controller\n", + "2025-01-29 09:52:54,023 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3 task_id:cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", + "2025-01-29 09:52:54,024 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.002916 seconds\n", + "2025-01-29 09:52:54,024 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: task result sent to server\n", + "2025-01-29 09:52:54,024 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\n", + "2025-01-29 09:52:54,182 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", + "2025-01-29 09:52:54,375 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", + "2025-01-29 09:52:56,016 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: assigned task to client site-4: name=config, id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", + "2025-01-29 09:52:56,016 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: sent task assignment to client. client_name:site-4 task_id:c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", + "2025-01-29 09:52:56,016 - GetTaskCommand - INFO - return task to client. client_name: site-4 task_name: config task_id: c4a9e9bb-4477-42d9-9cbc-6e83679ca768 sharable_header_task_id: c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", + "2025-01-29 09:52:56,017 - Communicator - INFO - Received from simulator_server server. getTask: config size: 724B (724 Bytes) time: 0.001911 seconds\n", + "2025-01-29 09:52:56,017 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", + "2025-01-29 09:52:56,017 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", + "2025-01-29 09:52:56,017 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:56,018 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: finished processing task\n", + "2025-01-29 09:52:56,018 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: try #1: sending task result to server\n", + "2025-01-29 09:52:56,018 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: checking task ...\n", + "2025-01-29 09:52:56,018 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:56,019 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: start to send task result to server\n", + "2025-01-29 09:52:56,019 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:56,020 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job]: got result from client site-4 for task: name=config, id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", + "2025-01-29 09:52:56,020 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: finished processing client result by controller\n", + "2025-01-29 09:52:56,020 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4 task_id:c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", + "2025-01-29 09:52:56,020 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.001337 seconds\n", + "2025-01-29 09:52:56,021 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: task result sent to server\n", + "2025-01-29 09:52:56,021 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\n", + "2025-01-29 09:52:56,023 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", + "2025-01-29 09:52:56,217 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", + "2025-01-29 09:52:56,522 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: assigned task to client site-5: name=config, id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", + "2025-01-29 09:52:56,522 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: sent task assignment to client. client_name:site-5 task_id:7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", + "2025-01-29 09:52:56,522 - GetTaskCommand - INFO - return task to client. client_name: site-5 task_name: config task_id: 7f3c2f75-5a3d-4dde-b7da-bb787d2bc652 sharable_header_task_id: 7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", + "2025-01-29 09:52:56,523 - Communicator - INFO - Received from simulator_server server. getTask: config size: 697B (697 Bytes) time: 0.002758 seconds\n", + "2025-01-29 09:52:56,523 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", + "2025-01-29 09:52:56,523 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", + "2025-01-29 09:52:56,524 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:56,524 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: finished processing task\n", + "2025-01-29 09:52:56,524 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: try #1: sending task result to server\n", + "2025-01-29 09:52:56,524 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: checking task ...\n", + "2025-01-29 09:52:56,524 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:56,526 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: start to send task result to server\n", + "2025-01-29 09:52:56,526 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:56,527 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job]: got result from client site-5 for task: name=config, id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", + "2025-01-29 09:52:56,527 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: finished processing client result by controller\n", + "2025-01-29 09:52:56,527 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5 task_id:7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", + "2025-01-29 09:52:56,528 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.001539 seconds\n", + "2025-01-29 09:52:56,528 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: task result sent to server\n", + "2025-01-29 09:52:56,528 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\n", + "2025-01-29 09:52:56,637 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", + "2025-01-29 09:52:56,832 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task run_algorithm\n", + "2025-01-29 09:52:57,043 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: assigned task to client site-3: name=run_algorithm, id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", + "2025-01-29 09:52:57,044 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: sent task assignment to client. client_name:site-3 task_id:6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", + "2025-01-29 09:52:57,044 - GetTaskCommand - INFO - return task to client. client_name: site-3 task_name: run_algorithm task_id: 6b6da7a8-398f-41bc-859c-7fc227cb0ddb sharable_header_task_id: 6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", + "2025-01-29 09:52:57,045 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.004508 seconds\n", + "2025-01-29 09:52:57,046 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", + "2025-01-29 09:52:57,046 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", + "2025-01-29 09:52:57,046 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:57,046 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,024 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: assigned task to client site-1: name=run_algorithm, id=effc72b6-cc30-4c3d-af4c-37906a2c853f\n", + "2025-01-29 09:52:58,024 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: sent task assignment to client. client_name:site-1 task_id:effc72b6-cc30-4c3d-af4c-37906a2c853f\n", + "2025-01-29 09:52:58,024 - GetTaskCommand - INFO - return task to client. client_name: site-1 task_name: run_algorithm task_id: effc72b6-cc30-4c3d-af4c-37906a2c853f sharable_header_task_id: effc72b6-cc30-4c3d-af4c-37906a2c853f\n", + "2025-01-29 09:52:58,026 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.004612 seconds\n", + "2025-01-29 09:52:58,026 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", + "2025-01-29 09:52:58,026 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=effc72b6-cc30-4c3d-af4c-37906a2c853f\n", + "2025-01-29 09:52:58,026 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:58,027 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,028 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: assigned task to client site-4: name=run_algorithm, id=29e31196-da1c-494c-8185-ae62822065f0\n", + "2025-01-29 09:52:58,028 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: sent task assignment to client. client_name:site-4 task_id:29e31196-da1c-494c-8185-ae62822065f0\n", + "2025-01-29 09:52:58,028 - GetTaskCommand - INFO - return task to client. client_name: site-4 task_name: run_algorithm task_id: 29e31196-da1c-494c-8185-ae62822065f0 sharable_header_task_id: 29e31196-da1c-494c-8185-ae62822065f0\n", + "2025-01-29 09:52:58,029 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.003091 seconds\n", + "2025-01-29 09:52:58,029 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", + "2025-01-29 09:52:58,029 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=29e31196-da1c-494c-8185-ae62822065f0\n", + "2025-01-29 09:52:58,030 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:58,030 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,030 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,531 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: assigned task to client site-5: name=run_algorithm, id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", + "2025-01-29 09:52:58,532 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: sent task assignment to client. client_name:site-5 task_id:4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", + "2025-01-29 09:52:58,532 - GetTaskCommand - INFO - return task to client. client_name: site-5 task_name: run_algorithm task_id: 4c21ac3e-5360-4056-b30b-0ec27ea0aacd sharable_header_task_id: 4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", + "2025-01-29 09:52:58,533 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: assigned task to client site-2: name=run_algorithm, id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", + "2025-01-29 09:52:58,533 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: sent task assignment to client. client_name:site-2 task_id:7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", + "2025-01-29 09:52:58,533 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.002873 seconds\n", + "2025-01-29 09:52:58,533 - GetTaskCommand - INFO - return task to client. client_name: site-2 task_name: run_algorithm task_id: 7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc sharable_header_task_id: 7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", + "2025-01-29 09:52:58,533 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", + "2025-01-29 09:52:58,533 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", + "2025-01-29 09:52:58,533 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:58,534 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,534 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.003075 seconds\n", + "2025-01-29 09:52:58,534 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", + "2025-01-29 09:52:58,534 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", + "2025-01-29 09:52:58,534 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: invoking task executor ConsensusExecutor\n", + "2025-01-29 09:52:58,534 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,536 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,537 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,537 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,538 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,538 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,539 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,541 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,541 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,541 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,542 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,543 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,544 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,544 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,544 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,545 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,546 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,547 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,547 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,547 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,548 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,549 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,549 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,549 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,550 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,551 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,552 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,552 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,552 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,552 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,553 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,554 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,554 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,554 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,554 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,556 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,556 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,557 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,557 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,557 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,558 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,558 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,559 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,559 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,559 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,560 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,560 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,561 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,561 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,561 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,562 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,562 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,563 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,563 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,563 - 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INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,610 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,611 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,611 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,611 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,611 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,612 - Cell - INFO - 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Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,615 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,615 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,616 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,618 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,619 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,619 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,619 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,619 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,620 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,621 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,621 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,621 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,621 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,622 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,622 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,623 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,623 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,623 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,624 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,624 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,624 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,625 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,625 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,626 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,626 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,626 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,627 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,627 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,628 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,629 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,629 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,629 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,629 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,630 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,630 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,630 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,631 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,632 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,632 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,633 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,633 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,633 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,634 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,634 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,635 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,635 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,635 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,635 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,638 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,639 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,639 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,639 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,640 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,640 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,640 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,641 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,641 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", + "2025-01-29 09:52:58,642 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: finished processing task\n", + "2025-01-29 09:52:58,642 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: try #1: sending task result to server\n", + "2025-01-29 09:52:58,642 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: checking task ...\n", + "2025-01-29 09:52:58,642 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: finished processing task\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: try #1: sending task result to server\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: checking task ...\n", + "2025-01-29 09:52:58,643 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: finished processing task\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: finished processing task\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: try #1: sending task result to server\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: checking task ...\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: try #1: sending task result to server\n", + "2025-01-29 09:52:58,643 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: checking task ...\n", + "2025-01-29 09:52:58,643 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: finished processing task\n", + "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: start to send task result to server\n", + "2025-01-29 09:52:58,643 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:58,644 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: try #1: sending task result to server\n", + "2025-01-29 09:52:58,644 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: checking task ...\n", + "2025-01-29 09:52:58,644 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", + "2025-01-29 09:52:58,644 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: start to send task result to server\n", + "2025-01-29 09:52:58,644 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:58,645 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: start to send task result to server\n", + "2025-01-29 09:52:58,645 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:58,645 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job]: got result from client site-1 for task: name=run_algorithm, id=effc72b6-cc30-4c3d-af4c-37906a2c853f\n", + "2025-01-29 09:52:58,645 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: finished processing client result by controller\n", + "2025-01-29 09:52:58,645 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1 task_id:effc72b6-cc30-4c3d-af4c-37906a2c853f\n", + "2025-01-29 09:52:58,645 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: start to send task result to server\n", + "2025-01-29 09:52:58,645 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:58,646 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job]: got result from client site-3 for task: name=run_algorithm, id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", + "2025-01-29 09:52:58,646 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: finished processing client result by controller\n", + "2025-01-29 09:52:58,646 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3 task_id:6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", + "2025-01-29 09:52:58,646 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: start to send task result to server\n", + "2025-01-29 09:52:58,646 - FederatedClient - INFO - Starting to push execute result.\n", + "2025-01-29 09:52:58,647 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.003040 seconds\n", + "2025-01-29 09:52:58,647 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: task result sent to server\n", + "2025-01-29 09:52:58,647 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\n", + "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job]: got result from client site-5 for task: name=run_algorithm, id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", + "2025-01-29 09:52:58,647 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.002851 seconds\n", + "2025-01-29 09:52:58,647 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: task result sent to server\n", + "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job]: got result from client site-2 for task: name=run_algorithm, id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", + "2025-01-29 09:52:58,647 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\n", + "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: finished processing client result by controller\n", + "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job]: got result from client site-4 for task: name=run_algorithm, id=29e31196-da1c-494c-8185-ae62822065f0\n", + "2025-01-29 09:52:58,647 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5 task_id:4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", + "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: finished processing client result by controller\n", + "2025-01-29 09:52:58,647 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2 task_id:7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", + "2025-01-29 09:52:58,648 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: finished processing client result by controller\n", + "2025-01-29 09:52:58,648 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.003004 seconds\n", + "2025-01-29 09:52:58,648 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: task result sent to server\n", + "2025-01-29 09:52:58,648 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4 task_id:29e31196-da1c-494c-8185-ae62822065f0\n", + "2025-01-29 09:52:58,648 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\n", + "2025-01-29 09:52:58,648 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.002399 seconds\n", + "2025-01-29 09:52:58,648 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: task result sent to server\n", + "2025-01-29 09:52:58,648 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\n", + "2025-01-29 09:52:58,648 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.001776 seconds\n", + "2025-01-29 09:52:58,648 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: task result sent to server\n", + "2025-01-29 09:52:58,648 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\n", + "2025-01-29 09:52:58,673 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task run_algorithm exit with status TaskCompletionStatus.OK\n", + "2025-01-29 09:52:58,870 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: Workflow: controller finalizing ...\n", + "2025-01-29 09:52:58,870 - AlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: BaseController stopped\n", + "2025-01-29 09:52:58,871 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: ABOUT_TO_END_RUN fired\n", + "2025-01-29 09:52:58,873 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", + "2025-01-29 09:52:58,874 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", + "2025-01-29 09:52:58,874 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", + "2025-01-29 09:52:58,874 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: Firing CHECK_END_RUN_READINESS ...\n", + "2025-01-29 09:52:58,875 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: END_RUN fired\n", + "2025-01-29 09:52:58,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", + "2025-01-29 09:52:58,875 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", + "2025-01-29 09:52:58,875 - ReliableMessage - INFO - ReliableMessage is shutdown\n", + "2025-01-29 09:52:58,875 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: Server runner finished.\n", + "2025-01-29 09:52:59,311 - ReliableMessage - INFO - shutdown reliable message monitor\n", + "2025-01-29 09:53:00,650 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", + "2025-01-29 09:53:00,651 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", + "2025-01-29 09:53:00,651 - GetTaskCommand - INFO - return task to client. client_name: site-4 task_name: __end_run__ task_id: sharable_header_task_id: \n", + "2025-01-29 09:53:00,651 - GetTaskCommand - INFO - return task to client. client_name: site-5 task_name: __end_run__ task_id: sharable_header_task_id: \n", + "2025-01-29 09:53:00,652 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: started end-run events sequence\n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: ABOUT_TO_END_RUN fired\n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", + "2025-01-29 09:53:00,652 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: END_RUN fired\n", + "2025-01-29 09:53:00,652 - ClientTaskWorker - INFO - End the Simulator run.\n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: started end-run events sequence\n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: ABOUT_TO_END_RUN fired\n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", + "2025-01-29 09:53:00,652 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", + "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: END_RUN fired\n", + "2025-01-29 09:53:00,652 - ClientTaskWorker - INFO - End the Simulator run.\n", + "2025-01-29 09:53:00,652 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", + "2025-01-29 09:53:00,653 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-4 \n", + "2025-01-29 09:53:00,653 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", + "2025-01-29 09:53:00,653 - GetTaskCommand - INFO - return task to client. client_name: site-1 task_name: __end_run__ task_id: sharable_header_task_id: \n", + "2025-01-29 09:53:00,653 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-5 \n", + "2025-01-29 09:53:00,653 - GetTaskCommand - INFO - return task to client. client_name: site-3 task_name: __end_run__ task_id: sharable_header_task_id: \n", + "2025-01-29 09:53:00,653 - GetTaskCommand - INFO - return task to client. client_name: site-2 task_name: __end_run__ task_id: sharable_header_task_id: \n", + "2025-01-29 09:53:00,653 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40816\n", + "2025-01-29 09:53:00,653 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00008 Not Connected] is closed PID: 40803\n", + "2025-01-29 09:53:00,654 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: started end-run events sequence\n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: ABOUT_TO_END_RUN fired\n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", + "2025-01-29 09:53:00,654 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40818\n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: END_RUN fired\n", + "2025-01-29 09:53:00,654 - ClientTaskWorker - INFO - End the Simulator run.\n", + "2025-01-29 09:53:00,654 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00010 Not Connected] is closed PID: 40803\n", + "2025-01-29 09:53:00,654 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", + "2025-01-29 09:53:00,654 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-1 \n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: started end-run events sequence\n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: ABOUT_TO_END_RUN fired\n", + "2025-01-29 09:53:00,654 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", + "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", + "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: END_RUN fired\n", + "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: started end-run events sequence\n", + "2025-01-29 09:53:00,655 - ClientTaskWorker - INFO - End the Simulator run.\n", + "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: ABOUT_TO_END_RUN fired\n", + "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", + "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: END_RUN fired\n", + "2025-01-29 09:53:00,655 - ClientTaskWorker - INFO - End the Simulator run.\n", + "2025-01-29 09:53:00,655 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-3 \n", + "2025-01-29 09:53:00,655 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00011 Not Connected] is closed PID: 40803\n", + "2025-01-29 09:53:00,655 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40814\n", + "2025-01-29 09:53:00,655 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-2 \n", + "2025-01-29 09:53:00,655 - FederatedClient - INFO - Shutting down client run: site-1\n", + "2025-01-29 09:53:00,655 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40817\n", + "2025-01-29 09:53:00,655 - FederatedClient - INFO - Shutting down client run: site-2\n", + "2025-01-29 09:53:00,656 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00009 Not Connected] is closed PID: 40803\n", + "2025-01-29 09:53:00,656 - FederatedClient - INFO - Shutting down client run: site-3\n", + "2025-01-29 09:53:00,656 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40815\n", + "2025-01-29 09:53:00,656 - FederatedClient - INFO - Shutting down client run: site-4\n", + "2025-01-29 09:53:00,656 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00012 Not Connected] is closed PID: 40803\n", + "2025-01-29 09:53:00,656 - FederatedClient - INFO - Shutting down client run: site-5\n", + "2025-01-29 09:53:00,656 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: asked to abort - triggered abort_signal to stop the RUN\n", + "2025-01-29 09:53:01,307 - SimulatorServer - INFO - Server app stopped.\n", + "\n", + "\n", + "2025-01-29 09:53:01,738 - nvflare.fuel.hci.server.hci - INFO - Admin Server localhost on Port 52348 shutdown!\n", + "2025-01-29 09:53:01,738 - SimulatorServer - INFO - shutting down server\n", + "2025-01-29 09:53:01,738 - SimulatorServer - INFO - canceling sync locks\n", + "2025-01-29 09:53:01,738 - SimulatorServer - INFO - server off\n", + "2025-01-29 09:53:05,222 - MPM - INFO - MPM: Good Bye!\n" + ] + } + ], + "source": [ + "# run\n", + "job.export_job(\"./tmp/job_configs\")\n", + "job.simulator_run(\"./tmp/runs/consensus\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, since in this toy example we have access to both the intial values and the adjacency matrix, we can compute the consensus value at which the clients will converge." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Consensus value: 0.5351105719804765\n",
+       "
\n" + ], + "text/plain": [ + "Consensus value: \u001b[1;36m0.5351105719804765\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pickle\n", + "import torch\n", + "\n", + "from nvdo.utils.topology import get_matrix_steady_state\n", + "\n", + "history = {\n", + " f\"site-{i+1}\": pickle.load(open(f\"tmp/runs/consensus/site-{i+1}/results.pkl\", \"rb\")) for i in range(num_clients)\n", + "}\n", + "x0=torch.tensor([h[0] for name, h in history.items()]).t()\n", + "consensus_value = x0 @ get_matrix_steady_state(adjacency_matrix)\n", + "print(f\"Consensus value: {consensus_value}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By inspecting the history/results, we can easily see that all the clients successfully converged to the expected consensus value. " + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# plot results\n", + "plt.figure()\n", + "for i in range(num_clients):\n", + " plt.plot(history[f\"site-{i+1}\"], label=f\"site-{i+1}\")\n", + "plt.axhline(y=consensus_value, color='k', linestyle=\"--\", label=\"Consensus value\")\n", + "plt.legend()\n", + "plt.title(\"Evolution of local values\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/advanced/distributed_optimization/examples/1-consensus/launcher.py b/examples/advanced/distributed_optimization/examples/1-consensus/launcher.py new file mode 100644 index 0000000000..86689d6076 --- /dev/null +++ b/examples/advanced/distributed_optimization/examples/1-consensus/launcher.py @@ -0,0 +1,51 @@ +import pickle +import random +import matplotlib.pyplot as plt +from nvflare.job_config.api import FedJob + +from nvdo.controllers import AlgorithmController +from nvdo.executors import ConsensusExecutor +from nvdo.types import Config +from nvdo.utils.config_generator import generate_random_network + +class CustomConsensusExecutor(ConsensusExecutor): + def __init__(self): + super().__init__(initial_value=random.randint(0,10)) + + +if __name__ == "__main__": + # Create job + job = FedJob(name="consensus") + + # generate random config + num_clients = 6 + network, _ = generate_random_network(num_clients=num_clients) + config = Config(network=network, extra={"iterations": 20}) + + + # send controller to server + controller = AlgorithmController(config=config) + job.to_server(controller) + + # Add clients + for i in range(num_clients): + executor = CustomConsensusExecutor() + job.to(executor, f"site-{i + 1}") + + # run + job.export_job("./tmp/job_configs") + job.simulator_run("./tmp/runs/consensus") + + + history = { + f"site-{i + 1}": pickle.load( + open(f"tmp/runs/consensus/site-{i + 1}/results.pkl", "rb") + ) + for i in range(num_clients) + } + plt.figure() + for i in range(num_clients): + plt.plot(history[f"site-{i + 1}"], label=f"site-{i + 1}") + plt.legend() + plt.title("Evolution of local values") + plt.show() diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/README.md b/examples/advanced/distributed_optimization/examples/2-two_moons/README.md new file mode 100644 index 0000000000..8d26022b39 --- /dev/null +++ b/examples/advanced/distributed_optimization/examples/2-two_moons/README.md @@ -0,0 +1,28 @@ +# Distributed classification - two moons dataset + +In this example we consider the simple [two moons](https://scikit-learn.org/dev/modules/generated/sklearn.datasets.make_moons.html) classification problem and compare different distributed optimization algorithms: +- Distributed gradient descent +- Gradient tracking +- GTAdam + +We run all the algorithms with 6 clients, for 1000 iterations and with a stepsize of 0.01. These common parameters can be changed in the `config.py` file. + +The models and datasets are stored in `utils.py` and are the same for all algorithms. + +## Distributed gradient descent +``` +python launcher_dgd.py +``` +![dgd](dgd_results.png) + +## Gradient tracking +``` +python launcher_gt.py +``` +![gt](gt_results.png) + +## GTAdam +``` +python launcher_gtadam.py +``` +![gtadam](gtadam_results.png) \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/config.py b/examples/advanced/distributed_optimization/examples/2-two_moons/config.py new file mode 100644 index 0000000000..250083010a --- /dev/null +++ b/examples/advanced/distributed_optimization/examples/2-two_moons/config.py @@ -0,0 +1,3 @@ +NUM_CLIENTS = 6 +ITERATIONS = 1000 +STEPSIZE = 0.01 \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/dgd_results.png 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zQ*QtG@p@N;0C-$CN-=0eVqih$!LaGpJH}y%-sD~GPHcXU`?%cNAeN>4QYX~NWLCDN zVhE^et?yYsL8HU6kTCG@!?t_c4dh;9!1~8DgD^n->><>KQh^@HE_661wo^A1?yIoV zdo>bJSe6|}CX8QazPNc%Ed@zTIVEwA!BELj2DR^_=ULK?*{aw;1@c#h%os32R literal 0 HcmV?d00001 diff --git a/examples/advanced/distributed_optimization/examples/3-mnist/launcher_dgd.py b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_dgd.py new file mode 100644 index 0000000000..01e71d6e44 --- /dev/null +++ b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_dgd.py @@ -0,0 +1,49 @@ +import torch +from config import ITERATIONS, NUM_CLIENTS, STEPSIZE +from nvflare.job_config.api import FedJob +from utils import NeuralNetwork, get_dataloaders, plot_results + +from nvdo.controllers import AlgorithmController +from nvdo.executors import DGDExecutor +from nvdo.types import Config +from nvdo.utils.config_generator import generate_random_network + + +class CustomDGDExecutor(DGDExecutor): + def __init__(self, data_chunk: int | None = None): + self._data_chunk = data_chunk + train_dataloader, test_dataloader = get_dataloaders(data_chunk) + super().__init__( + model=NeuralNetwork(), + loss=torch.nn.CrossEntropyLoss(), + train_dataloader=train_dataloader, + test_dataloader=test_dataloader, + ) + + +if __name__ == "__main__": + # Create job + job_name = "dgd" + job = FedJob(name=job_name) + + # generate random config + network, _ = generate_random_network(num_clients=NUM_CLIENTS) + config = Config( + network=network, extra={"iterations": ITERATIONS, "stepsize": STEPSIZE} + ) + + # send controller to server + controller = AlgorithmController(config=config) + job.to_server(controller) + + # Add clients + for i in range(NUM_CLIENTS): + executor = CustomDGDExecutor(data_chunk=i) + job.to(executor, f"site-{i + 1}") + + # run + job.export_job("./tmp/job_configs") + job.simulator_run(f"./tmp/runs/{job_name}") + + # plot and save results + plot_results(job_name, NUM_CLIENTS) diff --git a/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gt.py b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gt.py new file mode 100644 index 0000000000..c66454fbc1 --- /dev/null +++ b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gt.py @@ -0,0 +1,45 @@ +import torch +from nvflare.job_config.api import FedJob +from utils import NeuralNetwork, get_dataloaders, plot_results + +from nvdo.controllers import AlgorithmController +from nvdo.executors import GTExecutor +from nvdo.types import Config +from nvdo.utils.config_generator import generate_random_network +from config import NUM_CLIENTS, ITERATIONS, STEPSIZE + + +class CustomGTExecutor(GTExecutor): + def __init__(self, data_chunk: int | None = None): + self._data_chunk = data_chunk + train_dataloader, test_dataloader = get_dataloaders(data_chunk) + super().__init__( + model=NeuralNetwork(), + loss=torch.nn.CrossEntropyLoss(), + train_dataloader=train_dataloader, + test_dataloader=test_dataloader, + ) + +if __name__ == "__main__": + # Create job + job_name = "gt" + job = FedJob(name=job_name) + + # generate random config + network, _ = generate_random_network(num_clients=NUM_CLIENTS) + config = Config(network=network, extra={"iterations": ITERATIONS, "stepsize": STEPSIZE}) + + # send controller to server + controller = AlgorithmController(config=config) + job.to_server(controller) + + # Add clients + for i in range(NUM_CLIENTS): + executor = CustomGTExecutor(data_chunk=i) + job.to(executor, f"site-{i + 1}") + + # run + job.export_job("./tmp/job_configs") + job.simulator_run(f"./tmp/runs/{job_name}") + + plot_results(job_name, NUM_CLIENTS) diff --git a/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gtadam.py b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gtadam.py new file mode 100644 index 0000000000..d7b4d1556a --- /dev/null +++ b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gtadam.py @@ -0,0 +1,54 @@ +import torch +from nvflare.job_config.api import FedJob +from utils import NeuralNetwork, get_dataloaders, plot_results + +from nvdo.controllers import AlgorithmController +from nvdo.executors import GTADAMExecutor +from nvdo.types import Config +from nvdo.utils.config_generator import generate_random_network +from config import NUM_CLIENTS, ITERATIONS, STEPSIZE + + +class CustomGTADAMExecutor(GTADAMExecutor): + def __init__(self, data_chunk: int | None = None): + self._data_chunk = data_chunk + train_dataloader, test_dataloader = get_dataloaders(data_chunk) + super().__init__( + model=NeuralNetwork(), + loss=torch.nn.CrossEntropyLoss(), + train_dataloader=train_dataloader, + test_dataloader=test_dataloader, + ) + +if __name__ == "__main__": + # Create job + job_name = "gtadam" + job = FedJob(name=job_name) + + # generate random config + network, _ = generate_random_network(num_clients=NUM_CLIENTS) + config = Config( + network=network, + extra={ + "iterations": ITERATIONS, + "stepsize": STEPSIZE, + "beta1": 0.9, + "beta2": 0.999, + "epsilon": 1e-8, + }, + ) + + # send controller to server + controller = AlgorithmController(config=config) + job.to_server(controller) + + # Add clients + for i in range(NUM_CLIENTS): + executor = CustomGTADAMExecutor(data_chunk=i) + job.to(executor, f"site-{i + 1}") + + # run + job.export_job("./tmp/job_configs") + job.simulator_run(f"./tmp/runs/{job_name}") + + plot_results(job_name, NUM_CLIENTS) diff --git a/examples/advanced/distributed_optimization/examples/3-mnist/utils.py b/examples/advanced/distributed_optimization/examples/3-mnist/utils.py new file mode 100644 index 0000000000..fa5d252f7c --- /dev/null +++ b/examples/advanced/distributed_optimization/examples/3-mnist/utils.py @@ -0,0 +1,92 @@ +import matplotlib.pyplot as plt +import torch +from torch import nn +from torchvision import datasets +from torchvision.transforms import ToTensor +from config import NUM_CLIENTS + + +def get_dataloaders(data_chunk): + training_data = datasets.MNIST( + root="data", train=True, download=True, transform=ToTensor() + ) + test_data = datasets.MNIST( + root="data", train=False, download=True, transform=ToTensor() + ) + + # split dataset so that each agent has a subset with (distinct) labels + labels = [ + (training_data.targets == i).nonzero(as_tuple=True)[0].tolist() + for i in range(10) + ] + indices = torch.tensor_split(torch.arange(10), NUM_CLIENTS)[data_chunk] + local_labels = [] + for i in indices: + local_labels += labels[i] + + train_dataloader = torch.utils.data.DataLoader( + torch.utils.data.Subset(training_data, local_labels), + batch_size=128, + ) + + test_dataloader = torch.utils.data.DataLoader(test_data, batch_size=128) + return train_dataloader, test_dataloader + + +class NeuralNetwork(nn.Module): + def __init__(self): + super().__init__() + self.flatten = nn.Flatten() + self.linear_relu_stack = nn.Sequential( + nn.Linear(28 * 28, 256), + nn.ReLU(), + nn.Linear(256, 256), + nn.ReLU(), + nn.Linear(256, 10), + ) + + def forward(self, x): + x = self.flatten(x) + logits = self.linear_relu_stack(x) + return logits + + +def plot_results(job, num_clients): + plt.style.use('ggplot') + train_loss = {} + test_loss = {} + for i in range(num_clients): + train_loss[f"site-{i + 1}"] = torch.load( + f"./tmp/runs/{job}/site-{i + 1}/train_loss_sequence.pt" + ) + test_loss[f"site-{i + 1}"] = torch.load( + f"./tmp/runs/{job}/site-{i + 1}/test_loss_sequence.pt" + ) + + fig, axs = plt.subplots(1, 2, figsize=(12, 6)) + + # First subplot: Evolution of training loss + for i in range(num_clients): + time = train_loss[f"site-{i + 1}"][:, 0] + loss = train_loss[f"site-{i + 1}"][:, 1] + axs[0].plot(time, loss, label=f"site-{i + 1}") + axs[0].legend() + axs[0].set_ylim(-0.1, 3) + axs[0].set_ylabel("Loss") + axs[0].set_xlabel("Time (s)") + axs[0].set_title("Evolution of Training Loss") + + # Second subplot: Evolution of test loss + for i in range(num_clients): + time = test_loss[f"site-{i + 1}"][:, 0] + loss = test_loss[f"site-{i + 1}"][:, 1] + axs[1].plot(time, loss, label=f"site-{i + 1}") + axs[1].legend() + axs[1].set_ylim(-0.1, 3) + axs[1].set_ylabel("Loss") + axs[1].set_xlabel("Time (s)") + axs[1].set_title("Evolution of Test Loss") + + plt.tight_layout() + plt.savefig(f"{job}_results.png") + # plt.show() \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/nvdo/__init__.py b/examples/advanced/distributed_optimization/nvdo/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/examples/advanced/distributed_optimization/nvdo/controllers/__init__.py b/examples/advanced/distributed_optimization/nvdo/controllers/__init__.py new file mode 100644 index 0000000000..d500b9249c --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/controllers/__init__.py @@ -0,0 +1 @@ +from .base import AlgorithmController # noqa \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/nvdo/controllers/base.py b/examples/advanced/distributed_optimization/nvdo/controllers/base.py new file mode 100644 index 0000000000..7ff3e28d79 --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/controllers/base.py @@ -0,0 +1,52 @@ +from nvflare.apis.controller_spec import Task +from nvflare.apis.dxo import DXO, DataKind +from nvflare.apis.fl_context import FLContext +from nvflare.apis.impl.controller import Controller +from nvflare.apis.signal import Signal + +from nvdo.types import Config + + +class AlgorithmController(Controller): + """Controller for running a p2p algorithm on a network.""" + def __init__( + self, + config: Config, + *args, + **kwargs, + ): + super().__init__(*args, **kwargs) + self.config = config + + def control_flow(self, abort_signal: Signal, fl_ctx: FLContext): + # Send network config (aka neighors info) to each client + for node in self.config.network.nodes: + task = Task( + name="config", + data=DXO( + data_kind=DataKind.METRICS, + data={"neighbors": [n.__dict__ for n in node.neighbors]}, + ).to_shareable(), + ) + self.send_and_wait(task=task, targets=[node.id], fl_ctx=fl_ctx) + + # Run algorithm (with extra params if any passed as data) + targets = [node.id for node in self.config.network.nodes] + self.broadcast_and_wait( + task=Task( + name="run_algorithm", + data=DXO( + data_kind=DataKind.METRICS, + data={key: value for key, value in self.config.extra.items()}, + ).to_shareable(), + ), + targets=targets, + min_responses=0, + fl_ctx=fl_ctx, + ) + + def start_controller(self, fl_ctx: FLContext): + self.log_info(fl_ctx, "BaseController started") + + def stop_controller(self, fl_ctx: FLContext): + self.log_info(fl_ctx, "BaseController stopped") diff --git a/examples/advanced/distributed_optimization/nvdo/executors/__init__.py b/examples/advanced/distributed_optimization/nvdo/executors/__init__.py new file mode 100644 index 0000000000..c5da51cfd6 --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/executors/__init__.py @@ -0,0 +1,5 @@ +from .base import SynchronousAlgorithmExecutor # noqa +from .consensus import ConsensusExecutor # noqa +from .distributed_gradient_descent import DGDExecutor # noqa +from .gradient_tracking import GTExecutor # noqa +from .gtadam import GTADAMExecutor # noqa \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/nvdo/executors/base.py b/examples/advanced/distributed_optimization/nvdo/executors/base.py new file mode 100644 index 0000000000..74a8ac78c0 --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/executors/base.py @@ -0,0 +1,142 @@ +import threading +from abc import abstractmethod +from collections import defaultdict + +from nvflare.apis.dxo import DXO, DataKind, from_shareable +from nvflare.apis.event_type import EventType +from nvflare.apis.executor import Executor +from nvflare.apis.fl_constant import ReturnCode +from nvflare.apis.fl_context import FLContext +from nvflare.apis.shareable import Shareable, make_reply +from nvflare.apis.signal import Signal + +from nvdo.types import LocalConfig, Neighbor + + +class BaseAlgorithmExecutor(Executor): + """Base class for algorithm executors.""" + def __init__(self): + super().__init__() + + self.id = None + self.client_name = None + self.config = None + self._weight = None + + self.neighbors: list[Neighbor] = [] + + def execute( + self, + task_name: str, + shareable: Shareable, + fl_ctx: FLContext, + abort_signal: Signal, + ): + if task_name == "config": + # Load local network config + self.config = LocalConfig(**from_shareable(shareable).data) + self.neighbors = self.config.neighbors + self._weight = 1.0 - sum([n.weight for n in self.neighbors]) + return make_reply(ReturnCode.OK) + + elif task_name == "run_algorithm": + # Run the algorithm + self._pre_algorithm_run(fl_ctx, shareable, abort_signal) + self.run_algorithm(fl_ctx, shareable, abort_signal) + self._post_algorithm_run(fl_ctx, shareable, abort_signal) + return make_reply(ReturnCode.OK) + else: + self.log_warning(fl_ctx, f"Unknown task name: {task_name}") + return make_reply(ReturnCode.TASK_UNKNOWN) + + @abstractmethod + def run_algorithm( + self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal + ): + """Executes the algorithm""" + pass + + def _pre_algorithm_run( + self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal + ): + """Executes before algorithm run.""" + pass + + def _post_algorithm_run( + self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal + ): + """Executes after algorithm run. Could be used, for example, to save results""" + pass + + def _to_message(self, x): + return x + + def _from_message(self, x): + return x + + def handle_event(self, event_type: str, fl_ctx: FLContext): + if event_type == EventType.START_RUN: + self.client_name = fl_ctx.get_identity_name() + self.id = int(self.client_name.split("-")[1]) + + +class SynchronousAlgorithmExecutor(BaseAlgorithmExecutor): + """An executor to implement synchronous algorithms.""" + def __init__(self): + super().__init__() + + self.neighbors_values = defaultdict(dict) + + self.sync_waiter = threading.Event() + self.lock = threading.Lock() + + def _exchange_values(self, fl_ctx: FLContext, value: any, iteration: int): + engine = fl_ctx.get_engine() + + # Clear the event before starting the exchange + self.sync_waiter.clear() + + _ = engine.send_aux_request( + targets=[neighbor.id for neighbor in self.neighbors], + topic="send_value", + request=DXO( + data_kind=DataKind.METRICS, + data={ + "value": self._to_message(value), + "iteration": iteration, + }, + ).to_shareable(), + timeout=10, + fl_ctx=fl_ctx, + ) + + # check if neighbors already sent their values + if len(self.neighbors_values[iteration]) < len(self.neighbors): + # wait for all neighbors to send their values for the current iteration + # if not received after timeout, abort the job + if not self.sync_waiter.wait(timeout=10): + self.system_panic("failed to receive values from all neighbors", fl_ctx) + return + + def _handle_neighbor_value( + self, topic: str, request: Shareable, fl_ctx: FLContext + ) -> Shareable: + sender = request.get_peer_props()["__identity_name__"] + data = from_shareable(request).data + iteration = data["iteration"] + + with self.lock: + self.neighbors_values[iteration][sender] = self._from_message(data["value"]) + # Check if all neighbor values have been received + if len(self.neighbors_values[iteration]) >= len(self.neighbors): + self.sync_waiter.set() # Signal that we have all neighbor values + return make_reply(ReturnCode.OK) + + def handle_event(self, event_type: str, fl_ctx: FLContext): + super().handle_event(event_type, fl_ctx) + if event_type == EventType.START_RUN: + engine = fl_ctx.get_engine() + + engine.register_aux_message_handler( + topic="send_value", message_handle_func=self._handle_neighbor_value + ) diff --git a/examples/advanced/distributed_optimization/nvdo/executors/consensus.py b/examples/advanced/distributed_optimization/nvdo/executors/consensus.py new file mode 100644 index 0000000000..34506a389a --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/executors/consensus.py @@ -0,0 +1,48 @@ +import pickle +import random + +from nvflare.apis.dxo import from_shareable + +from .base import SynchronousAlgorithmExecutor + + +class ConsensusExecutor(SynchronousAlgorithmExecutor): + """An executor that implements the consensus algorithm""" + + def __init__( + self, + initial_value: float | None = None, + ): + super().__init__() + if initial_value is None: + initial_value = random.random() + self.current_value = initial_value + self.value_history = [self.current_value] + + def run_algorithm(self, fl_ctx, shareable, abort_signal): + iterations = from_shareable(shareable).data["iterations"] + + for iteration in range(iterations): + if abort_signal.triggered: + break + + # run algorithm step + # 1. exchange values + self._exchange_values(fl_ctx, value=self.current_value, iteration=iteration) + + # 2. compute new value + current_value = self.current_value * self._weight + for neighbor in self.neighbors: + current_value += ( + self.neighbors_values[iteration][neighbor.id] * neighbor.weight + ) + + # 3. store current value + self.current_value = current_value + self.value_history.append(current_value) + + # free memory that's no longer needed + del self.neighbors_values[iteration] + + def _post_algorithm_run(self, *args, **kwargs): + pickle.dump(self.value_history, open("results.pkl", "wb")) diff --git a/examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py b/examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py new file mode 100644 index 0000000000..52e63ba37b --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py @@ -0,0 +1,119 @@ +import torch +from nvflare.apis.dxo import from_shareable +from nvdo.utils.metrics import compute_loss_over_dataset +import time + +from .base import SynchronousAlgorithmExecutor +from abc import abstractmethod + + +class DGDExecutor(SynchronousAlgorithmExecutor): + @abstractmethod + def __init__( + self, + model: torch.nn.Module | None = None, + loss: torch.nn.modules.loss._Loss | None = None, + train_dataloader: torch.utils.data.DataLoader | None = None, + test_dataloader: torch.utils.data.DataLoader | None = None, + val_dataloader: torch.utils.data.DataLoader | None = None, + ): + super().__init__() + self.model = model + self.loss = loss + self.train_dataloader = train_dataloader + self.test_dataloader = test_dataloader + self.val_dataloader = val_dataloader + + # metrics + self.train_loss_sequence = [] + self.test_loss_sequence = [] + + def run_algorithm(self, fl_ctx, shareable, abort_signal): + start_time = time.time() + iter_dataloader = iter(self.train_dataloader) + + for iteration in range(self._iterations): + self.log_info(fl_ctx, f"iteration: {iteration}/{self._iterations}") + if abort_signal.triggered: + break + + try: + data, label = next(iter_dataloader) + except StopIteration: + # 3. store metrics + current_time = time.time() - start_time + self.train_loss_sequence.append( + ( + current_time, + compute_loss_over_dataset( + self.model, self.loss, self.train_dataloader + ), + ) + ) + self.test_loss_sequence.append( + ( + current_time, + compute_loss_over_dataset( + self.model, self.loss, self.test_dataloader + ), + ) + ) + # restart after an epoch + iter_dataloader = iter(self.train_dataloader) + data, label = next(iter_dataloader) + + # run algorithm step + # 1. exchange values + with torch.no_grad(): + self._exchange_values( + fl_ctx, value=self.model.parameters(), iteration=iteration + ) + + # compute consensus value + for idx, param in enumerate(self.model.parameters()): + if param.requires_grad: + param.mul_(self._weight) + for neighbor in self.neighbors: + param.add_( + self.neighbors_values[iteration][neighbor.id][idx], + alpha=neighbor.weight, + ) + # 2. update current value + self.model.zero_grad() + pred = self.model(data) + loss = self.loss(pred, label) + loss.backward() + + with torch.no_grad(): + for param in self.model.parameters(): + if param.grad is not None: + param.add_(param.grad, alpha=-self._stepsize) + + # free memory that's no longer needed + del self.neighbors_values[iteration] + + def _to_message(self, x): + return [ + param.cpu().numpy() for param in iter(x) if param.requires_grad + ] + + def _from_message(self, x): + return [torch.from_numpy(param) for param in x] + + def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal): + self._iterations = from_shareable(shareable).data["iterations"] + self._stepsize = from_shareable(shareable).data["stepsize"] + + init_train_loss = compute_loss_over_dataset( + self.model, self.loss, self.train_dataloader + ) + init_test_loss = compute_loss_over_dataset( + self.model, self.loss, self.test_dataloader + ) + + self.train_loss_sequence.append((0, init_train_loss)) + self.test_loss_sequence.append((0, init_test_loss)) + + def _post_algorithm_run(self, *args, **kwargs): + torch.save(torch.tensor(self.train_loss_sequence), "train_loss_sequence.pt") + torch.save(torch.tensor(self.test_loss_sequence), "test_loss_sequence.pt") diff --git a/examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py b/examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py new file mode 100644 index 0000000000..686cc8557b --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py @@ -0,0 +1,161 @@ +import torch +from nvflare.apis.dxo import from_shareable +from nvdo.utils.metrics import compute_loss_over_dataset +import time + +from .base import SynchronousAlgorithmExecutor +from abc import abstractmethod + + +class GTExecutor(SynchronousAlgorithmExecutor): + @abstractmethod + def __init__( + self, + model: torch.nn.Module | None = None, + loss: torch.nn.modules.loss._Loss | None = None, + train_dataloader: torch.utils.data.DataLoader | None = None, + test_dataloader: torch.utils.data.DataLoader | None = None, + val_dataloader: torch.utils.data.DataLoader | None = None, + ): + super().__init__() + self.model = model + self.loss = loss + self.train_dataloader = train_dataloader + self.test_dataloader = test_dataloader + self.val_dataloader = val_dataloader + + # metrics + self.train_loss_sequence = [] + self.test_loss_sequence = [] + + def run_algorithm(self, fl_ctx, shareable, abort_signal): + start_time = time.time() + iter_dataloader = iter(self.train_dataloader) + + for iteration in range(self._iterations): + self.log_info(fl_ctx, f"iteration: {iteration}/{self._iterations}") + if abort_signal.triggered: + break + + try: + data, label = next(iter_dataloader) + except StopIteration: + # 3. store metrics + current_time = time.time() - start_time + self.train_loss_sequence.append( + ( + current_time, + compute_loss_over_dataset( + self.model, self.loss, self.train_dataloader + ), + ) + ) + self.test_loss_sequence.append( + ( + current_time, + compute_loss_over_dataset( + self.model, self.loss, self.test_dataloader + ), + ) + ) + # restart after an epoch + iter_dataloader = iter(self.train_dataloader) + data, label = next(iter_dataloader) + + # run algorithm step + with torch.no_grad(): + # 1. exchange trainable parameters and tracker + value_to_exchange = { + "parameters": self.model.parameters(), + "tracker": self.tracker, + } + self._exchange_values( + fl_ctx, value=value_to_exchange, iteration=iteration + ) + + # 2. Update trainable parameters + # - a. compute consensus value + for idx, param in enumerate(self.model.parameters()): + if param.requires_grad: + param.mul_(self._weight) + for neighbor in self.neighbors: + param.add_( + self.neighbors_values[iteration][neighbor.id][ + "parameters" + ][idx], + alpha=neighbor.weight, + ) + + # - b. update local parameters + self._update_local_state(self._stepsize) + + # 3. Update tracker + # - a. consensus on tracker + for idx, tracker in enumerate(iter(self.tracker)): + tracker.mul_(self._weight) + for neighbor in self.neighbors: + tracker.add_( + self.neighbors_values[iteration][neighbor.id]["tracker"][ + idx + ], + alpha=neighbor.weight, + ) + + # -b. compute new gradients + self.model.zero_grad() + pred = self.model(data) + loss = self.loss(pred, label) + loss.backward() + + gradient = [param.grad for param in self.model.parameters()] + + # - c. update tracker + for i in range(len(self.tracker)): + self.tracker[i] += gradient[i] - self.old_gradient[i] + + self.old_gradient = gradient + + # 4. free memory that's no longer needed + del self.neighbors_values[iteration] + + def _update_local_state(self, stepsize): + for idx, param in enumerate(self.model.parameters()): + if param.requires_grad: + param.add_(self.tracker[idx], alpha=-stepsize) + + def _to_message(self, x): + return { + "parameters": [param.cpu().numpy() for param in iter(x["parameters"])], + "tracker": [z.cpu().numpy() for z in iter(x["tracker"])], + } + + def _from_message(self, x): + return { + "parameters": [torch.from_numpy(param) for param in x["parameters"]], + "tracker": [torch.from_numpy(z) for z in x["tracker"]], + } + + def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal): + data = from_shareable(shareable).data + self._iterations = data["iterations"] + self._stepsize = data["stepsize"] + + init_train_loss = compute_loss_over_dataset( + self.model, self.loss, self.train_dataloader + ) + init_test_loss = compute_loss_over_dataset( + self.model, self.loss, self.test_dataloader + ) + + self.train_loss_sequence.append((0, init_train_loss)) + self.test_loss_sequence.append((0, init_test_loss)) + + # initialize tracker + self.old_gradient = [ + torch.zeros_like(param) for param in self.model.parameters() + ] + self.tracker = [torch.zeros_like(param) for param in self.model.parameters()] + + def _post_algorithm_run(self, *args, **kwargs): + torch.save(torch.tensor(self.train_loss_sequence), "train_loss_sequence.pt") + torch.save(torch.tensor(self.test_loss_sequence), "test_loss_sequence.pt") diff --git a/examples/advanced/distributed_optimization/nvdo/executors/gtadam.py b/examples/advanced/distributed_optimization/nvdo/executors/gtadam.py new file mode 100644 index 0000000000..c221bc8c31 --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/executors/gtadam.py @@ -0,0 +1,33 @@ +import torch +from nvflare.apis.dxo import from_shareable + +from .gradient_tracking import GTExecutor + + +class GTADAMExecutor(GTExecutor): + def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal): + super()._pre_algorithm_run(fl_ctx, shareable, abort_signal) + + data = from_shareable(shareable).data + self.beta1 = data["beta1"] + self.beta2 = data["beta2"] + self.epsilon = data["epsilon"] + self.G = torch.tensor(1e6) + self.m = [torch.zeros_like(param) for param in self.model.parameters()] + self.v = [torch.zeros_like(param) for param in self.model.parameters()] + + + def _update_local_state(self, stepsize): + for i in range(len(self.tracker)): + self.m[i] = self.beta1 * self.m[i] + (1 - self.beta1) * self.tracker[i] + self.v[i] = torch.minimum( + self.beta2 * self.v[i] + (1 - self.beta2) * self.tracker[i] ** 2, self.G + ) + + with torch.no_grad(): + for idx, param in enumerate(self.model.parameters()): + if param.requires_grad: + descent = torch.divide( + self.m[idx], torch.sqrt(self.v[idx] + self.epsilon) + ) + param.add_(descent, alpha=-stepsize) diff --git a/examples/advanced/distributed_optimization/nvdo/types/__init__.py b/examples/advanced/distributed_optimization/nvdo/types/__init__.py new file mode 100644 index 0000000000..4be2d9af0e --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/types/__init__.py @@ -0,0 +1,92 @@ +from dataclasses import dataclass, field + + +@dataclass +class Neighbor: + """Represents a neighbor in the network.""" + + id: int | str + weight: float | None = None + + @property + def __dict__(self): + return {"id": self.id, "weight": self.weight} + + +@dataclass +class Node: + """Represents a node in the network.""" + + id: int | str | None = None + neighbors: list[Neighbor] = field(default_factory=list) + + @property + def __dict__(self): + return { + "id": self.id, + "neighbors": [neighbor.__dict__ for neighbor in self.neighbors], + } + + def __post_init__(self): + new_neighbors = [] + for neighbor in self.neighbors: + if isinstance(neighbor, dict): + new_neighbors.append(Neighbor(**neighbor)) + else: + new_neighbors.append(neighbor) + self.neighbors = new_neighbors + + +@dataclass +class Network: + """Represents a network.""" + + nodes: list[Node] = field(default_factory=list) + + @property + def __dict__(self): + return {"nodes": [node.__dict__ for node in self.nodes]} + + def __post_init__(self): + new_nodes = [] + for node in self.nodes: + if isinstance(node, dict): + new_nodes.append(Node(**node)) + else: + new_nodes.append(node) + self.nodes = new_nodes + + +@dataclass +class Config: + network: Network + + extra: dict = field(default_factory=dict) + + @property + def __dict__(self): + return {"extra": self.extra, "network": self.network.__dict__} + + def __post_init__(self): + if isinstance(self.network, dict): + self.network = Network(**self.network) + + +@dataclass +class LocalConfig: + neighbors: list[Neighbor] + + extra: dict = field(default_factory=dict) + + @property + def __dict__(self): + return {"neighbors": self.neighbors__dict__, "extra": self.extra} + + def __post_init__(self): + new_neighbors = [] + for neighbor in self.neighbors: + if isinstance(neighbor, dict): + new_neighbors.append(Neighbor(**neighbor)) + else: + new_neighbors.append(neighbor) + self.neighbors = new_neighbors diff --git a/examples/advanced/distributed_optimization/nvdo/utils/__init__.py b/examples/advanced/distributed_optimization/nvdo/utils/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/examples/advanced/distributed_optimization/nvdo/utils/config_generator.py b/examples/advanced/distributed_optimization/nvdo/utils/config_generator.py new file mode 100644 index 0000000000..84fe324309 --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/utils/config_generator.py @@ -0,0 +1,53 @@ +import networkx as nx +import numpy as np + +from nvdo.types import Neighbor, Node, Network + +from .topology import doubly_stochastic_adjacency + + +def generate_random_network( + num_clients: int, + seed: int = 42, + connection_probability: float = 0.3, +) -> Network: + """Generate a random configuration for the given number of clients. + The configuration includes the number of iterations, the network topology, + and the initial values for each node. + + Args: + num_clients (int): The number of clients in the network. + + Returns: + BaseConfig: The generated configuration. + np.ndarray: The weighted adjacency matrix of the network. + """ + np.random.seed(seed=seed) + + while True: + graph = nx.gnp_random_graph(num_clients, p=connection_probability) + if nx.is_connected(graph): + break + adjacency_matrix = nx.adjacency_matrix(graph) + np.eye(num_clients) + weighted_adjacency_matrix = doubly_stochastic_adjacency(graph) + + network = [] + for j in range(num_clients): + in_neighbors = np.nonzero(adjacency_matrix[:, j])[0].tolist() + in_weights = weighted_adjacency_matrix[:, j].tolist() + + neighbors = [ + Neighbor(id=f"site-{i + 1}", weight=in_weights[i]) + for i in in_neighbors + if i != j + ] + + network.append(Node( + id=f"site-{j + 1}", + neighbors=neighbors, + )) + + config = Network( + nodes=network, + ) + return config, weighted_adjacency_matrix diff --git a/examples/advanced/distributed_optimization/nvdo/utils/metrics.py b/examples/advanced/distributed_optimization/nvdo/utils/metrics.py new file mode 100644 index 0000000000..1494d18a97 --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/utils/metrics.py @@ -0,0 +1,41 @@ +import torch + +def compute_loss_over_dataset( + model: torch.nn.Module | None = None, + loss: torch.nn.modules.loss._Loss | None = None, + dataloader: torch.utils.data.DataLoader | None = None, +) -> float: + """ + Compute the average loss over a dataset. + + Args: + model: The model to use for predictions. + loss: The loss function to use. + dataloader: The dataloader for the dataset. + + Returns: + The average loss over the dataset. + """ + # Check if all required arguments are provided + if model is None or loss is None or dataloader is None: + raise ValueError("All arguments (model, loss, dataloader) must be provided.") + + epoch_loss = 0 + total_samples = 0 + with torch.no_grad(): + # Iterate over the dataloader + for x, y in dataloader: + # Make predictions + pred = model(x) + # Compute the loss + ls = loss(pred, y) + # Accumulate the loss and total samples + epoch_loss += ls.item() # Get the scalar value of the loss + total_samples += 1 + + # Check if there are any samples in the dataset + if total_samples == 0: + raise ValueError("The dataset is empty.") + + # Return the average loss + return epoch_loss / total_samples diff --git a/examples/advanced/distributed_optimization/nvdo/utils/topology.py b/examples/advanced/distributed_optimization/nvdo/utils/topology.py new file mode 100644 index 0000000000..6732a69de6 --- /dev/null +++ b/examples/advanced/distributed_optimization/nvdo/utils/topology.py @@ -0,0 +1,28 @@ +import networkx as nx +import torch + + +def doubly_stochastic_adjacency(graph: nx.Graph) -> torch.Tensor: + """Using Metropolis-Hastings algorithm to compute a doubly stochastic adjacency matrix.""" + num_agents = len(graph.nodes()) + binary_adjacency_matrix = torch.from_numpy(nx.to_numpy_array(graph)).float() + degree = torch.sum(binary_adjacency_matrix, dim=0) + W = torch.zeros((num_agents, num_agents)) + for i in range(num_agents): + N_i = torch.nonzero(binary_adjacency_matrix[i, :]) + for j in N_i: + W[i, j] = 1 / (1 + max(degree[i], degree[j])) + W[i, i] = 1 - torch.sum(W[i, :]) + return W + + +def get_matrix_steady_state(A: torch.Tensor): + """Get the steady state of a matrix via eigendecomposition""" + eigenvalues, eigenvectors = torch.linalg.eig( + A + ) # unnormalized and unordered eigenvalues and eigenvectors + idx = eigenvalues.float().argsort(descending=True) + eigenvectors = eigenvectors.float()[:, idx] + + steady_state = eigenvectors[:, 0] / torch.sum(eigenvectors[:, 0]) + return steady_state diff --git a/examples/advanced/distributed_optimization/pyproject.toml b/examples/advanced/distributed_optimization/pyproject.toml new file mode 100644 index 0000000000..aae4ef0131 --- /dev/null +++ b/examples/advanced/distributed_optimization/pyproject.toml @@ -0,0 +1,24 @@ +[build-system] +requires = ["setuptools >= 61.0"] +build-backend = "setuptools.build_meta" + +[tool.setuptools] +packages = ["nvdo"] + +[project] +name = "nvdo" +version = "0.0.1" +description = "Distributed optimization with NVFlare" +readme = "README.md" +requires-python = ">=3.8" +dependencies = [ + "nvflare==2.5.2", + "omegaconf==2.3.0", + "rich==13.9.4", + "torch==2.5.1", + "torchvision==0.20.1", + "matplotlib==3.10.0", + "scipy==1.15.0", + "scikit-learn==1.6.1", +] + From 7406ac1f37e55fe3d8b7ae6563af0a6c19df8cd0 Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Wed, 29 Jan 2025 11:04:14 +0000 Subject: [PATCH 02/15] add distributed optimization to examples readme --- examples/advanced/README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/examples/advanced/README.md b/examples/advanced/README.md index ebe97ab801..a29103dbdc 100644 --- a/examples/advanced/README.md +++ b/examples/advanced/README.md @@ -44,6 +44,10 @@ Please also install "./requirements.txt" in each example folder. * [Swarm Learning](./swarm_learning/README.md) * Example of swarm learning with NVIDIA FLARE using PyTorch with the CIFAR-10 dataset. +## Distributed Optimization / P2P algorithms +* [Distributed Optimization](./distributed_optimization/README.md) + * Example of using the low-level NVFlare APIs to implement and run P2P distributed optimization algorithms. + ## Vertical Federated Learning * [Vertical Federated Learning](./vertical_federated_learning/README.md) * Example of running split learning using the CIFAR-10 dataset. From 1409de905d9268448c9126e86c127acf2342ecd9 Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Wed, 29 Jan 2025 13:53:28 +0000 Subject: [PATCH 03/15] update data kind in messages --- .../distributed_optimization/nvdo/controllers/base.py | 4 ++-- .../advanced/distributed_optimization/nvdo/executors/base.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/advanced/distributed_optimization/nvdo/controllers/base.py b/examples/advanced/distributed_optimization/nvdo/controllers/base.py index 7ff3e28d79..a441460dfd 100644 --- a/examples/advanced/distributed_optimization/nvdo/controllers/base.py +++ b/examples/advanced/distributed_optimization/nvdo/controllers/base.py @@ -24,7 +24,7 @@ def control_flow(self, abort_signal: Signal, fl_ctx: FLContext): task = Task( name="config", data=DXO( - data_kind=DataKind.METRICS, + data_kind=DataKind.APP_DEFINED, data={"neighbors": [n.__dict__ for n in node.neighbors]}, ).to_shareable(), ) @@ -36,7 +36,7 @@ def control_flow(self, abort_signal: Signal, fl_ctx: FLContext): task=Task( name="run_algorithm", data=DXO( - data_kind=DataKind.METRICS, + data_kind=DataKind.APP_DEFINED, data={key: value for key, value in self.config.extra.items()}, ).to_shareable(), ), diff --git a/examples/advanced/distributed_optimization/nvdo/executors/base.py b/examples/advanced/distributed_optimization/nvdo/executors/base.py index 74a8ac78c0..fdc18ae7ba 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/base.py +++ b/examples/advanced/distributed_optimization/nvdo/executors/base.py @@ -100,7 +100,7 @@ def _exchange_values(self, fl_ctx: FLContext, value: any, iteration: int): targets=[neighbor.id for neighbor in self.neighbors], topic="send_value", request=DXO( - data_kind=DataKind.METRICS, + data_kind=DataKind.WEIGHTS, data={ "value": self._to_message(value), "iteration": iteration, From 3d1e710444c39653d495111191fc39dbb87a8abc Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Thu, 30 Jan 2025 16:31:51 +0000 Subject: [PATCH 04/15] add license text --- .../examples/1-consensus/launcher.py | 13 +++++++++++++ .../examples/2-two_moons/config.py | 13 +++++++++++++ .../examples/2-two_moons/launcher_dgd.py | 13 +++++++++++++ .../examples/2-two_moons/launcher_gt.py | 13 +++++++++++++ .../examples/2-two_moons/launcher_gtadam.py | 13 +++++++++++++ .../examples/2-two_moons/utils.py | 13 +++++++++++++ .../examples/3-mnist/config.py | 13 +++++++++++++ .../examples/3-mnist/launcher_dgd.py | 13 +++++++++++++ .../examples/3-mnist/launcher_gt.py | 13 +++++++++++++ .../examples/3-mnist/launcher_gtadam.py | 13 +++++++++++++ .../examples/3-mnist/utils.py | 13 +++++++++++++ .../distributed_optimization/nvdo/__init__.py | 13 +++++++++++++ .../nvdo/controllers/__init__.py | 13 +++++++++++++ .../nvdo/controllers/base.py | 13 +++++++++++++ .../nvdo/executors/__init__.py | 13 +++++++++++++ .../distributed_optimization/nvdo/executors/base.py | 13 +++++++++++++ .../nvdo/executors/consensus.py | 13 +++++++++++++ .../nvdo/executors/distributed_gradient_descent.py | 13 +++++++++++++ .../nvdo/executors/gradient_tracking.py | 13 +++++++++++++ .../nvdo/executors/gtadam.py | 13 +++++++++++++ .../distributed_optimization/nvdo/types/__init__.py | 13 +++++++++++++ .../distributed_optimization/nvdo/utils/__init__.py | 13 +++++++++++++ .../nvdo/utils/config_generator.py | 13 +++++++++++++ .../distributed_optimization/nvdo/utils/metrics.py | 13 +++++++++++++ .../distributed_optimization/nvdo/utils/topology.py | 13 +++++++++++++ 25 files changed, 325 insertions(+) diff --git a/examples/advanced/distributed_optimization/examples/1-consensus/launcher.py b/examples/advanced/distributed_optimization/examples/1-consensus/launcher.py index 86689d6076..e1482300bf 100644 --- a/examples/advanced/distributed_optimization/examples/1-consensus/launcher.py +++ b/examples/advanced/distributed_optimization/examples/1-consensus/launcher.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import pickle import random import matplotlib.pyplot as plt diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/config.py b/examples/advanced/distributed_optimization/examples/2-two_moons/config.py index 250083010a..fbd18354fb 100644 --- a/examples/advanced/distributed_optimization/examples/2-two_moons/config.py +++ b/examples/advanced/distributed_optimization/examples/2-two_moons/config.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. NUM_CLIENTS = 6 ITERATIONS = 1000 STEPSIZE = 0.01 \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_dgd.py b/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_dgd.py index e5397176df..985be0fc09 100644 --- a/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_dgd.py +++ b/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_dgd.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch from utils import NeuralNetwork, get_dataloaders, plot_results from config import NUM_CLIENTS, ITERATIONS, STEPSIZE diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gt.py b/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gt.py index 5bc5563ad9..d050c966d7 100644 --- a/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gt.py +++ b/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gt.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch from nvflare.job_config.api import FedJob from utils import NeuralNetwork, get_dataloaders, plot_results diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gtadam.py b/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gtadam.py index 1f11c4f043..32fa0ceaf2 100644 --- a/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gtadam.py +++ b/examples/advanced/distributed_optimization/examples/2-two_moons/launcher_gtadam.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch from nvflare.job_config.api import FedJob from utils import NeuralNetwork, get_dataloaders, plot_results diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/utils.py b/examples/advanced/distributed_optimization/examples/2-two_moons/utils.py index aacc5c9952..02eccf6cd3 100644 --- a/examples/advanced/distributed_optimization/examples/2-two_moons/utils.py +++ b/examples/advanced/distributed_optimization/examples/2-two_moons/utils.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. from torch import nn from sklearn.datasets import make_moons import torch diff --git a/examples/advanced/distributed_optimization/examples/3-mnist/config.py b/examples/advanced/distributed_optimization/examples/3-mnist/config.py index 434de3f011..8ce3abb37d 100644 --- a/examples/advanced/distributed_optimization/examples/3-mnist/config.py +++ b/examples/advanced/distributed_optimization/examples/3-mnist/config.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. NUM_CLIENTS = 4 ITERATIONS = 20000 STEPSIZE = 0.001 \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/examples/3-mnist/launcher_dgd.py b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_dgd.py index 01e71d6e44..7439d6a234 100644 --- a/examples/advanced/distributed_optimization/examples/3-mnist/launcher_dgd.py +++ b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_dgd.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch from config import ITERATIONS, NUM_CLIENTS, STEPSIZE from nvflare.job_config.api import FedJob diff --git a/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gt.py b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gt.py index c66454fbc1..e8c0f6629b 100644 --- a/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gt.py +++ b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gt.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch from nvflare.job_config.api import FedJob from utils import NeuralNetwork, get_dataloaders, plot_results diff --git a/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gtadam.py b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gtadam.py index d7b4d1556a..8ac71bc2a6 100644 --- a/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gtadam.py +++ b/examples/advanced/distributed_optimization/examples/3-mnist/launcher_gtadam.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch from nvflare.job_config.api import FedJob from utils import NeuralNetwork, get_dataloaders, plot_results diff --git a/examples/advanced/distributed_optimization/examples/3-mnist/utils.py b/examples/advanced/distributed_optimization/examples/3-mnist/utils.py index fa5d252f7c..bb019d1b07 100644 --- a/examples/advanced/distributed_optimization/examples/3-mnist/utils.py +++ b/examples/advanced/distributed_optimization/examples/3-mnist/utils.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import matplotlib.pyplot as plt import torch from torch import nn diff --git a/examples/advanced/distributed_optimization/nvdo/__init__.py b/examples/advanced/distributed_optimization/nvdo/__init__.py index e69de29bb2..ecc3520aba 100644 --- a/examples/advanced/distributed_optimization/nvdo/__init__.py +++ b/examples/advanced/distributed_optimization/nvdo/__init__.py @@ -0,0 +1,13 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/nvdo/controllers/__init__.py b/examples/advanced/distributed_optimization/nvdo/controllers/__init__.py index d500b9249c..948de939ad 100644 --- a/examples/advanced/distributed_optimization/nvdo/controllers/__init__.py +++ b/examples/advanced/distributed_optimization/nvdo/controllers/__init__.py @@ -1 +1,14 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. from .base import AlgorithmController # noqa \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/nvdo/controllers/base.py b/examples/advanced/distributed_optimization/nvdo/controllers/base.py index a441460dfd..0327aa0749 100644 --- a/examples/advanced/distributed_optimization/nvdo/controllers/base.py +++ b/examples/advanced/distributed_optimization/nvdo/controllers/base.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. from nvflare.apis.controller_spec import Task from nvflare.apis.dxo import DXO, DataKind from nvflare.apis.fl_context import FLContext diff --git a/examples/advanced/distributed_optimization/nvdo/executors/__init__.py b/examples/advanced/distributed_optimization/nvdo/executors/__init__.py index c5da51cfd6..b3093390bb 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/__init__.py +++ b/examples/advanced/distributed_optimization/nvdo/executors/__init__.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. from .base import SynchronousAlgorithmExecutor # noqa from .consensus import ConsensusExecutor # noqa from .distributed_gradient_descent import DGDExecutor # noqa diff --git a/examples/advanced/distributed_optimization/nvdo/executors/base.py b/examples/advanced/distributed_optimization/nvdo/executors/base.py index fdc18ae7ba..7c75121e16 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/base.py +++ b/examples/advanced/distributed_optimization/nvdo/executors/base.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import threading from abc import abstractmethod from collections import defaultdict diff --git a/examples/advanced/distributed_optimization/nvdo/executors/consensus.py b/examples/advanced/distributed_optimization/nvdo/executors/consensus.py index 34506a389a..7d6cc7f220 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/consensus.py +++ b/examples/advanced/distributed_optimization/nvdo/executors/consensus.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import pickle import random diff --git a/examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py b/examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py index 52e63ba37b..c56f3712ca 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py +++ b/examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch from nvflare.apis.dxo import from_shareable from nvdo.utils.metrics import compute_loss_over_dataset diff --git a/examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py b/examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py index 686cc8557b..473a5495c5 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py +++ b/examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch from nvflare.apis.dxo import from_shareable from nvdo.utils.metrics import compute_loss_over_dataset diff --git a/examples/advanced/distributed_optimization/nvdo/executors/gtadam.py b/examples/advanced/distributed_optimization/nvdo/executors/gtadam.py index c221bc8c31..3d8bdb63aa 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/gtadam.py +++ b/examples/advanced/distributed_optimization/nvdo/executors/gtadam.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch from nvflare.apis.dxo import from_shareable diff --git a/examples/advanced/distributed_optimization/nvdo/types/__init__.py b/examples/advanced/distributed_optimization/nvdo/types/__init__.py index 4be2d9af0e..bc26eecf8b 100644 --- a/examples/advanced/distributed_optimization/nvdo/types/__init__.py +++ b/examples/advanced/distributed_optimization/nvdo/types/__init__.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. from dataclasses import dataclass, field diff --git a/examples/advanced/distributed_optimization/nvdo/utils/__init__.py b/examples/advanced/distributed_optimization/nvdo/utils/__init__.py index e69de29bb2..ecc3520aba 100644 --- a/examples/advanced/distributed_optimization/nvdo/utils/__init__.py +++ b/examples/advanced/distributed_optimization/nvdo/utils/__init__.py @@ -0,0 +1,13 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/nvdo/utils/config_generator.py b/examples/advanced/distributed_optimization/nvdo/utils/config_generator.py index 84fe324309..b39bf140cf 100644 --- a/examples/advanced/distributed_optimization/nvdo/utils/config_generator.py +++ b/examples/advanced/distributed_optimization/nvdo/utils/config_generator.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import networkx as nx import numpy as np diff --git a/examples/advanced/distributed_optimization/nvdo/utils/metrics.py b/examples/advanced/distributed_optimization/nvdo/utils/metrics.py index 1494d18a97..7f9b1ee74c 100644 --- a/examples/advanced/distributed_optimization/nvdo/utils/metrics.py +++ b/examples/advanced/distributed_optimization/nvdo/utils/metrics.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import torch def compute_loss_over_dataset( diff --git a/examples/advanced/distributed_optimization/nvdo/utils/topology.py b/examples/advanced/distributed_optimization/nvdo/utils/topology.py index 6732a69de6..c69f37486f 100644 --- a/examples/advanced/distributed_optimization/nvdo/utils/topology.py +++ b/examples/advanced/distributed_optimization/nvdo/utils/topology.py @@ -1,3 +1,16 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import networkx as nx import torch From b597afe6c7abe7b865680179d93d209bea929e85 Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Thu, 30 Jan 2025 16:34:36 +0000 Subject: [PATCH 05/15] fix broken link --- examples/advanced/distributed_optimization/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/advanced/distributed_optimization/README.md b/examples/advanced/distributed_optimization/README.md index 2c942e999c..88cf51bda8 100644 --- a/examples/advanced/distributed_optimization/README.md +++ b/examples/advanced/distributed_optimization/README.md @@ -3,7 +3,7 @@ Here we show how to exploit the lower-level NVFlare APIs to implement P2P distributed optimization algorithms. We built a collection of distributed optimization algorithms built on top of NVFlare with examples. Below you can find a walkthrough of the implementation. The following algorithms are currently implemented: -- Consensus algorithm - initially published in [DeGroot, M. H. (1974). Reaching a Consensus. Journal of the American Statistical Association, 69(345), 118–121.](https://www.jstor.org/stable/2285509) +- Consensus algorithm - initially published in [DeGroot, M. H. (1974). Reaching a Consensus. Journal of the American Statistical Association, 69(345), 118–121.](https://doi.org/10.2307/2285509) - Distributed (stochastic) gradient descent [Tsitsiklis, J., Bertsekas, D., & Athans, M. (1986). Distributed asynchronous deterministic and stochastic gradient optimization algorithms. IEEE transactions on automatic control, 31(9), 803-812.](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1104412) and [Sundhar Ram, S., Nedić, A., & Veeravalli, V. V. (2010). Distributed stochastic subgradient projection algorithms for convex optimization. Journal of optimization theory and applications, 147, 516-545.](https://arxiv.org/pdf/0811.2595) - (Stochastic) gradient tracking [Pu, S., & Nedić, A. (2021). Distributed stochastic gradient tracking methods. Mathematical Programming, 187(1), 409-457.](https://arxiv.org/pdf/1805.11454) - GTAdam [Carnevale, G., Farina, F., Notarnicola, I., & Notarstefano, G. (2022). GTAdam: Gradient tracking with adaptive momentum for distributed online optimization. IEEE Transactions on Control of Network Systems, 10(3), 1436-1448.](https://ieeexplore.ieee.org/abstract/document/9999485) From e1d394e24dbb6768010dc2bc72bed2665e1d9147 Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Fri, 31 Jan 2025 11:07:40 +0000 Subject: [PATCH 06/15] move nvdo to nvflare.app_opt.p2p + refactoring --- .gitignore | 1 + .../distributed_optimization/.gitignore | 1 - .../1-consensus/README.md | 2 + .../{examples => }/1-consensus/launcher.py | 23 +- .../1-consensus/tutorial.ipynb | 766 ++++++++++++++ .../{examples => }/2-two_moons/README.md | 0 .../{examples => }/2-two_moons/config.py | 0 .../2-two_moons/dgd_results.png | Bin 0 -> 76368 bytes .../2-two_moons/gt_results.png | Bin 0 -> 75513 bytes .../2-two_moons/gtadam_results.png | Bin 0 -> 45749 bytes .../2-two_moons/launcher_dgd.py | 14 +- .../{examples => }/2-two_moons/launcher_gt.py | 14 +- .../2-two_moons/launcher_gtadam.py | 14 +- .../{examples => }/2-two_moons/utils.py | 0 .../{examples => }/3-mnist/README.md | 0 .../{examples => }/3-mnist/config.py | 0 .../{examples => }/3-mnist/dgd_results.png | Bin .../{examples => }/3-mnist/gt_results.png | Bin .../{examples => }/3-mnist/gtadam_results.png | Bin .../{examples => }/3-mnist/launcher_dgd.py | 12 +- .../{examples => }/3-mnist/launcher_gt.py | 14 +- .../{examples => }/3-mnist/launcher_gtadam.py | 14 +- .../{examples => }/3-mnist/utils.py | 3 +- .../distributed_optimization/README.md | 65 +- .../examples/1-consensus/README.md | 2 - .../1-consensus/consensus_notebook.ipynb | 980 ------------------ .../examples/2-two_moons/dgd_results.png | Bin 81201 -> 0 bytes .../examples/2-two_moons/gt_results.png | Bin 74175 -> 0 bytes .../examples/2-two_moons/gtadam_results.png | Bin 46487 -> 0 bytes .../distributed_optimization/pyproject.toml | 24 - .../distributed_optimization/requirements.txt | 8 + .../nvdo => nvflare/app_opt/p2p}/__init__.py | 0 .../app_opt/p2p}/controllers/__init__.py | 2 +- .../app_opt/p2p/controllers/p2p_controller.py | 6 +- .../app_opt/p2p}/executors/__init__.py | 5 +- .../p2p/executors/base_p2p_executor.py | 102 ++ .../app_opt/p2p}/executors/consensus.py | 10 +- .../executors/distributed_gradient_descent.py | 19 +- .../p2p}/executors/gradient_tracking.py | 13 +- .../app_opt/p2p}/executors/gtadam.py | 7 +- .../app_opt/p2p/executors/sync_executor.py | 75 +- .../app_opt/p2p}/types/__init__.py | 0 .../app_opt/p2p}/utils/__init__.py | 0 .../app_opt/p2p}/utils/config_generator.py | 5 +- .../app_opt/p2p}/utils/metrics.py | 0 .../app_opt/p2p}/utils/topology.py | 0 46 files changed, 996 insertions(+), 1205 deletions(-) create mode 100644 examples/advanced/distributed_optimization/1-consensus/README.md rename examples/advanced/distributed_optimization/{examples => }/1-consensus/launcher.py (73%) create mode 100644 examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb rename examples/advanced/distributed_optimization/{examples => }/2-two_moons/README.md (100%) rename examples/advanced/distributed_optimization/{examples => }/2-two_moons/config.py (100%) create mode 100644 examples/advanced/distributed_optimization/2-two_moons/dgd_results.png create mode 100644 examples/advanced/distributed_optimization/2-two_moons/gt_results.png create mode 100644 examples/advanced/distributed_optimization/2-two_moons/gtadam_results.png rename examples/advanced/distributed_optimization/{examples => }/2-two_moons/launcher_dgd.py (83%) rename examples/advanced/distributed_optimization/{examples => }/2-two_moons/launcher_gt.py (83%) rename examples/advanced/distributed_optimization/{examples => }/2-two_moons/launcher_gtadam.py (84%) rename examples/advanced/distributed_optimization/{examples => }/2-two_moons/utils.py (100%) rename examples/advanced/distributed_optimization/{examples => }/3-mnist/README.md (100%) rename examples/advanced/distributed_optimization/{examples => }/3-mnist/config.py (100%) rename examples/advanced/distributed_optimization/{examples => }/3-mnist/dgd_results.png (100%) rename examples/advanced/distributed_optimization/{examples => }/3-mnist/gt_results.png (100%) rename examples/advanced/distributed_optimization/{examples => }/3-mnist/gtadam_results.png (100%) rename examples/advanced/distributed_optimization/{examples => }/3-mnist/launcher_dgd.py (86%) rename examples/advanced/distributed_optimization/{examples => }/3-mnist/launcher_gt.py (83%) rename examples/advanced/distributed_optimization/{examples => }/3-mnist/launcher_gtadam.py (84%) rename examples/advanced/distributed_optimization/{examples => }/3-mnist/utils.py (98%) delete mode 100644 examples/advanced/distributed_optimization/examples/1-consensus/README.md delete mode 100644 examples/advanced/distributed_optimization/examples/1-consensus/consensus_notebook.ipynb delete mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/dgd_results.png delete mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/gt_results.png delete mode 100644 examples/advanced/distributed_optimization/examples/2-two_moons/gtadam_results.png delete mode 100644 examples/advanced/distributed_optimization/pyproject.toml create mode 100644 examples/advanced/distributed_optimization/requirements.txt rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/__init__.py (100%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/controllers/__init__.py (91%) rename examples/advanced/distributed_optimization/nvdo/controllers/base.py => nvflare/app_opt/p2p/controllers/p2p_controller.py (96%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/executors/__init__.py (82%) create mode 100644 nvflare/app_opt/p2p/executors/base_p2p_executor.py rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/executors/consensus.py (90%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/executors/distributed_gradient_descent.py (94%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/executors/gradient_tracking.py (97%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/executors/gtadam.py (96%) rename examples/advanced/distributed_optimization/nvdo/executors/base.py => nvflare/app_opt/p2p/executors/sync_executor.py (58%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/types/__init__.py (100%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/utils/__init__.py (100%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/utils/config_generator.py (93%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/utils/metrics.py (100%) rename {examples/advanced/distributed_optimization/nvdo => nvflare/app_opt/p2p}/utils/topology.py (100%) diff --git a/.gitignore b/.gitignore index c80bad2c74..09d7e01de8 100644 --- a/.gitignore +++ b/.gitignore @@ -91,6 +91,7 @@ venv/ ENV/ env.bak/ venv.bak/ +.mise.toml # Spyder project settings .spyderproject diff --git a/examples/advanced/distributed_optimization/.gitignore b/examples/advanced/distributed_optimization/.gitignore index 3fde4c99f7..87c90aa325 100644 --- a/examples/advanced/distributed_optimization/.gitignore +++ b/examples/advanced/distributed_optimization/.gitignore @@ -1,3 +1,2 @@ -.mise.toml tmp data \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/1-consensus/README.md b/examples/advanced/distributed_optimization/1-consensus/README.md new file mode 100644 index 0000000000..114105c67b --- /dev/null +++ b/examples/advanced/distributed_optimization/1-consensus/README.md @@ -0,0 +1,2 @@ +# Consensus algorithm +In this example we show how to run the consensus algorithm. You can find a detailed walkthrough in the [tutorial](tutorial.ipynb) or you can just run the provided [script](launcher.py) via `python launcher.py`. \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/examples/1-consensus/launcher.py b/examples/advanced/distributed_optimization/1-consensus/launcher.py similarity index 73% rename from examples/advanced/distributed_optimization/examples/1-consensus/launcher.py rename to examples/advanced/distributed_optimization/1-consensus/launcher.py index e1482300bf..ffd2bd6a6d 100644 --- a/examples/advanced/distributed_optimization/examples/1-consensus/launcher.py +++ b/examples/advanced/distributed_optimization/1-consensus/launcher.py @@ -11,19 +11,20 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -import pickle +import torch import random import matplotlib.pyplot as plt from nvflare.job_config.api import FedJob -from nvdo.controllers import AlgorithmController -from nvdo.executors import ConsensusExecutor -from nvdo.types import Config -from nvdo.utils.config_generator import generate_random_network +from nvflare.app_opt.p2p.controllers import P2PAlgorithmController +from nvflare.app_opt.p2p.executors import ConsensusExecutor +from nvflare.app_opt.p2p.types import Config +from nvflare.app_opt.p2p.utils.config_generator import generate_random_network + class CustomConsensusExecutor(ConsensusExecutor): def __init__(self): - super().__init__(initial_value=random.randint(0,10)) + super().__init__(initial_value=random.randint(0, 10)) if __name__ == "__main__": @@ -33,11 +34,10 @@ def __init__(self): # generate random config num_clients = 6 network, _ = generate_random_network(num_clients=num_clients) - config = Config(network=network, extra={"iterations": 20}) - + config = Config(network=network, extra={"iterations": 50}) # send controller to server - controller = AlgorithmController(config=config) + controller = P2PAlgorithmController(config=config) job.to_server(controller) # Add clients @@ -49,10 +49,9 @@ def __init__(self): job.export_job("./tmp/job_configs") job.simulator_run("./tmp/runs/consensus") - history = { - f"site-{i + 1}": pickle.load( - open(f"tmp/runs/consensus/site-{i + 1}/results.pkl", "rb") + f"site-{i + 1}": torch.load( + f"tmp/runs/consensus/site-{i + 1}/value_sequence.pt" ) for i in range(num_clients) } diff --git a/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb b/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb new file mode 100644 index 0000000000..e981f9ebd6 --- /dev/null +++ b/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb @@ -0,0 +1,766 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Consensus algorithm" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this example we'll show how to run a simple consensus algorithm.\n", + "\n", + "## Background\n", + "\n", + "We consider a network of `num_clients` peer clients. Each client $i$ maintains some local value $x_i^t$ and is connected to a subset of the other clients in the network, defined as the set of its neighbors $\\mathcal{N}_i$.\n", + "\n", + "The goal of all the clients is to reach consensus on their local values by communicating with their peers for a certain number of iterations $T$. \n", + "In other terms, they want to cooperatively compute a weighted average of their initial values $x_i^0$.\n", + "\n", + "The consensus algorithm works by having each client updating its local value as\n", + "\n", + "$$x_i^{t+1} = \\sum_{j\\in\\mathcal{N}_i}a_{ji}x_j^t$$\n", + "\n", + "where $a_{ji}$ is the weight associated by client $i$ to client $j$ and $\\sum_{j=1}^N a_{ji}=1$ for all $i$." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup\n", + "Let's assume we have $N=5$ clients and generate a random configuration." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from nvflare.app_opt.p2p.utils.config_generator import generate_random_network\n", + "from nvflare.app_opt.p2p.types import Config\n", + "\n", + "# generate random config\n", + "num_clients=5\n", + "network, adjacency_matrix = generate_random_network(num_clients=num_clients)\n", + "config = Config(network=network, extra={\"iterations\": 50})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By inspecting the config we can see the initial values of each client as well as the network topology." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Config(\n",
+       "    network=Network(\n",
+       "        nodes=[\n",
+       "            Node(\n",
+       "                id='site-1',\n",
+       "                neighbors=[\n",
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+       "                ]\n",
+       "            ),\n",
+       "            Node(id='site-2', neighbors=[Neighbor(id='site-1', weight=0.20000000298023224)]),\n",
+       "            Node(\n",
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+       "                    Neighbor(id='site-1', weight=0.20000000298023224),\n",
+       "                    Neighbor(id='site-4', weight=0.3333333432674408)\n",
+       "                ]\n",
+       "            ),\n",
+       "            Node(\n",
+       "                id='site-4',\n",
+       "                neighbors=[\n",
+       "                    Neighbor(id='site-1', weight=0.20000000298023224),\n",
+       "                    Neighbor(id='site-3', weight=0.3333333432674408)\n",
+       "                ]\n",
+       "            ),\n",
+       "            Node(id='site-5', neighbors=[Neighbor(id='site-1', weight=0.20000000298023224)])\n",
+       "        ]\n",
+       "    ),\n",
+       "    extra={'iterations': 50}\n",
+       ")\n",
+       "
\n" + ], + "text/plain": [ + "\u001b[1;35mConfig\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mnetwork\u001b[0m=\u001b[1;35mNetwork\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mnodes\u001b[0m=\u001b[1m[\u001b[0m\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m,\n", + " \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m\n", + " \u001b[1m]\u001b[0m\n", + " \u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m,\n", + " \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n", + " \u001b[1m]\u001b[0m\n", + " \u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n", + " \u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m,\n", + " \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n", + " \u001b[1m]\u001b[0m\n", + " \u001b[1m)\u001b[0m,\n", + " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n", + " \u001b[1m]\u001b[0m\n", + " \u001b[1m)\u001b[0m,\n", + " \u001b[33mextra\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'iterations'\u001b[0m: \u001b[1;36m50\u001b[0m\u001b[1m}\u001b[0m\n", + "\u001b[1m)\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from rich import print\n", + "\n", + "print(config)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Instantiating and running the distributed algorithm\n", + "\n", + "Now that we have all the configurations, we can instantiate the clients and a controller." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from nvflare.job_config.api import FedJob\n", + "from nvflare.app_opt.p2p.executors import ConsensusExecutor\n", + "from nvflare.app_opt.p2p.controllers import P2PAlgorithmController\n", + "\n", + "# Create job\n", + "job = FedJob(name=\"consensus\")\n", + "\n", + "# send controller to server\n", + "controller = P2PAlgorithmController(config=config)\n", + "job.to_server(controller)\n", + "\n", + "# Add clients\n", + "for i in range(num_clients):\n", + " executor = ConsensusExecutor() # the executor will be initialized with a random value\n", + " job.to(executor, f\"site-{i+1}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we can run the algorithm" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[38m2025-01-31 10:43:21,315 - SimulatorRunner - INFO - Create the Simulator Server.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,316 - CoreCell - INFO - server: creating listener on tcp://0:57864\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,341 - CoreCell - INFO - server: created backbone external listener for tcp://0:57864\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,341 - ConnectorManager - INFO - 39829: Try start_listener Listener resources: {'secure': False, 'host': 'localhost'}\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,342 - conn_manager - INFO - Connector [CH00002 PASSIVE tcp://0:9312] is starting\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,843 - CoreCell - INFO - server: created backbone internal listener for tcp://localhost:9312\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,843 - conn_manager - INFO - Connector [CH00001 PASSIVE tcp://0:57864] is starting\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,844 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,844 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,844 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,844 - SimulatorServer - INFO - max_reg_duration=60.0\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,878 - hci - INFO - Starting Admin Server localhost on Port 57865\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,878 - SimulatorRunner - INFO - Deploy the Apps.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,907 - SimulatorRunner - INFO - Create the simulate clients.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,907 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,907 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,909 - Communicator - INFO - Trying to register with server ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,910 - ClientManager - INFO - authenticated client site-1: client_fqcn='site-1'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,910 - ClientManager - INFO - Client: New client site-1@10.2.184.71 joined. Sent token: 44efd389-a1d6-4587-8d9f-e6ff608aefd2. Total clients: 1\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,910 - Communicator - INFO - register RC: ok\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,910 - FederatedClient - INFO - Successfully registered client:site-1 for project simulator_server. Token:44efd389-a1d6-4587-8d9f-e6ff608aefd2 SSID:\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,910 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,910 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,911 - Communicator - INFO - Trying to register with server ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,911 - ClientManager - INFO - authenticated client site-2: client_fqcn='site-2'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,911 - ClientManager - INFO - Client: New client site-2@10.2.184.71 joined. Sent token: c1552959-386c-4025-9bb9-50232e032487. Total clients: 2\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,911 - Communicator - INFO - register RC: ok\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,911 - FederatedClient - INFO - Successfully registered client:site-2 for project simulator_server. Token:c1552959-386c-4025-9bb9-50232e032487 SSID:\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,911 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,912 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,912 - Communicator - INFO - Trying to register with server ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,912 - ClientManager - INFO - authenticated client site-3: client_fqcn='site-3'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,912 - ClientManager - INFO - Client: New client site-3@10.2.184.71 joined. Sent token: f70b92dc-edc7-43e3-a330-7f711dd59bdc. Total clients: 3\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,912 - Communicator - INFO - register RC: ok\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,912 - FederatedClient - INFO - Successfully registered client:site-3 for project simulator_server. Token:f70b92dc-edc7-43e3-a330-7f711dd59bdc SSID:\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,912 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,912 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - Communicator - INFO - Trying to register with server ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - ClientManager - INFO - authenticated client site-4: client_fqcn='site-4'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - ClientManager - INFO - Client: New client site-4@10.2.184.71 joined. Sent token: e95e4133-deaa-40de-b3a7-ba37f0a2b361. Total clients: 4\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - Communicator - INFO - register RC: ok\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - FederatedClient - INFO - Successfully registered client:site-4 for project simulator_server. Token:e95e4133-deaa-40de-b3a7-ba37f0a2b361 SSID:\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - Communicator - INFO - Trying to register with server ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - ClientManager - INFO - authenticated client site-5: client_fqcn='site-5'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - ClientManager - INFO - Client: New client site-5@10.2.184.71 joined. Sent token: b6b4eb38-d385-47a8-8235-05210d2a1f77. Total clients: 5\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,913 - Communicator - INFO - register RC: ok\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,914 - FederatedClient - INFO - Successfully registered client:site-5 for project simulator_server. Token:b6b4eb38-d385-47a8-8235-05210d2a1f77 SSID:\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,914 - SimulatorRunner - INFO - Set the client status ready.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,914 - SimulatorRunner - INFO - Deploy and start the Server App.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,914 - Cell - INFO - Register blob CB for channel='server_command', topic='*'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,914 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,914 - ServerCommandAgent - INFO - ServerCommandAgent cell register_request_cb: server.simulate_job\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic __sync_runner__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic __job_heartbeat__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic __task_check__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,923 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,923 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - Server runner starting ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,923 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,923 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - starting workflow controller () ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,923 - P2PAlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - BaseController started\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,923 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow controller () started\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:21,923 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:22,919 - SimulatorClientRunner - INFO - Start the clients run simulation.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:23,920 - SimulatorClientRunner - INFO - Simulate Run client: site-1 on GPU group: None\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:23,922 - SimulatorClientRunner - INFO - Simulate Run client: site-2 on GPU group: None\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:23,924 - SimulatorClientRunner - INFO - Simulate Run client: site-3 on GPU group: None\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:23,924 - SimulatorClientRunner - INFO - Simulate Run client: site-4 on GPU group: None\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:23,925 - SimulatorClientRunner - INFO - Simulate Run client: site-5 on GPU group: None\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,932 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,932 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,935 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,936 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,937 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-3.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-1.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-5.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-2.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-4.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57940 => 127.0.0.1:57864] is created: PID: 39848\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57941 => 127.0.0.1:57864] is created: PID: 39850\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57942 => 127.0.0.1:57864] is created: PID: 39846\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57943 => 127.0.0.1:57864] is created: PID: 39847\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57944 => 127.0.0.1:57864] is created: PID: 39849\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00008 127.0.0.1:57864 <= 127.0.0.1:57940] is created: PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,973 - conn_manager - INFO - Connection [CN00009 127.0.0.1:57864 <= 127.0.0.1:57941] is created: PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,973 - conn_manager - INFO - Connection [CN00010 127.0.0.1:57864 <= 127.0.0.1:57942] is created: PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,973 - conn_manager - INFO - Connection [CN00011 127.0.0.1:57864 <= 127.0.0.1:57943] is created: PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:24,973 - conn_manager - INFO - Connection [CN00012 127.0.0.1:57864 <= 127.0.0.1:57944] is created: PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,076 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,076 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,308 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - synced to Server Runner in 0.5137271881103516 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,309 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,309 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,309 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,310 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,310 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,310 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - client runner started\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,310 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-3\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,311 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - synced to Server Runner in 0.5162680149078369 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,311 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - synced to Server Runner in 0.5165047645568848 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,311 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,311 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - synced to Server Runner in 0.5163741111755371 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,311 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - synced to Server Runner in 0.5167350769042969 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - client runner started\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,312 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - client runner started\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,313 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,313 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-5\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,313 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-1\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,313 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - client runner started\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,313 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,313 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-2\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,313 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,313 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - client runner started\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,313 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-4\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,315 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - assigned task to client site-1: name=config, id=7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,316 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - sent task assignment to client. client_name:site-1 task_id:7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,316 - GetTaskCommand - INFO - return task to client. client_name: site-1 task_name: config task_id: 7bf65655-f007-4ea7-bec9-6f4988ec7d25 sharable_header_task_id: 7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,319 - Communicator - INFO - Received from simulator_server server. getTask: config size: 782B (782 Bytes) time: 0.005942 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,319 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,319 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,319 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,320 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,320 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,320 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,322 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,322 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,323 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=config, id=7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,323 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,324 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1 task_id:7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,324 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.001705 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,324 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,325 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,392 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,403 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,827 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - assigned task to client site-2: name=config, id=6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,827 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - sent task assignment to client. client_name:site-2 task_id:6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,828 - GetTaskCommand - INFO - return task to client. client_name: site-2 task_name: config task_id: 6c2ea1c7-7648-45ae-8a16-6c57016b9594 sharable_header_task_id: 6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,830 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.006084 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,830 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,830 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,831 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,831 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,831 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,831 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,834 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,834 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,835 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=config, id=6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,835 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,835 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2 task_id:6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,836 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.001925 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,836 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:26,837 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,007 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,017 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,329 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - assigned task to client site-3: name=config, id=de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,330 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - sent task assignment to client. client_name:site-3 task_id:de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,330 - GetTaskCommand - INFO - return task to client. client_name: site-3 task_name: config task_id: de1ca509-7941-4c92-ad93-1df7279cf95c sharable_header_task_id: de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,331 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.003929 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,331 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,332 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,332 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,332 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,332 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,333 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,336 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,337 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,338 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=config, id=de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,338 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,338 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3 task_id:de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,339 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.002095 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,339 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,339 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,414 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:27,424 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,347 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - assigned task to client site-4: name=config, id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,350 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - sent task assignment to client. client_name:site-4 task_id:cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,351 - GetTaskCommand - INFO - return task to client. client_name: site-4 task_name: config task_id: cff2ed3a-56d5-4676-b811-12f2cd1ebc4a sharable_header_task_id: cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,354 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.012186 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,354 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,354 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,355 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,355 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,355 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,355 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,358 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,358 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,359 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=config, id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,360 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,360 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4 task_id:cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,361 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.002285 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,361 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,361 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,457 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,662 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,856 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - assigned task to client site-5: name=config, id=61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,857 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - sent task assignment to client. client_name:site-5 task_id:61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,857 - GetTaskCommand - INFO - return task to client. client_name: site-5 task_name: config task_id: 61256033-1e00-4555-a8f7-ef7377d1e6f1 sharable_header_task_id: 61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,860 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.008032 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,861 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,861 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,862 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,863 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,863 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,863 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,867 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,867 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,869 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=config, id=61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,870 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,870 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5 task_id:61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,871 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.003672 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,871 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:29,872 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:30,067 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:30,072 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task run_algorithm\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:30,369 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - assigned task to client site-3: name=run_algorithm, id=eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:30,369 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - sent task assignment to client. client_name:site-3 task_id:eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:30,370 - GetTaskCommand - INFO - return task to client. client_name: site-3 task_name: run_algorithm task_id: eda2b3b7-f158-424b-a6c0-86b769fe67be sharable_header_task_id: eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:30,371 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.004151 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:30,371 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:30,372 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:30,372 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,355 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - assigned task to client site-1: name=run_algorithm, id=29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,356 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - sent task assignment to client. client_name:site-1 task_id:29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,357 - GetTaskCommand - INFO - return task to client. client_name: site-1 task_name: run_algorithm task_id: 29a5a623-1855-404a-922c-8548d2c1490d sharable_header_task_id: 29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,360 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.007064 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,360 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,361 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,361 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,368 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - assigned task to client site-4: name=run_algorithm, id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,368 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - sent task assignment to client. client_name:site-4 task_id:6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,369 - GetTaskCommand - INFO - return task to client. client_name: site-4 task_name: run_algorithm task_id: 6dc738d8-d113-4c70-99c1-53f5ed2c8a25 sharable_header_task_id: 6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,369 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.004394 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,370 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,370 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,370 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,868 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - assigned task to client site-2: name=run_algorithm, id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,868 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - sent task assignment to client. client_name:site-2 task_id:f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,868 - GetTaskCommand - INFO - return task to client. client_name: site-2 task_name: run_algorithm task_id: f22cd8c0-9e9a-4532-b9c0-53b6c977e9da sharable_header_task_id: f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,869 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.002690 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,870 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,870 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,870 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,877 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - assigned task to client site-5: name=run_algorithm, id=cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,878 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - sent task assignment to client. client_name:site-5 task_id:cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,878 - GetTaskCommand - INFO - return task to client. client_name: site-5 task_name: run_algorithm task_id: cd95cbc8-beec-4237-92a1-c27a203d8c90 sharable_header_task_id: cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,878 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.001726 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,879 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,879 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:31,879 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - invoking task executor ConsensusExecutor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,052 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,052 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,052 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,052 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - finished processing task\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - try #1: sending task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - checking task ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,054 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,054 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,054 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,054 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,055 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,055 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,055 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=run_algorithm, id=eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,056 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,056 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,056 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,056 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3 task_id:eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,056 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - start to send task result to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,056 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,056 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=run_algorithm, id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,057 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.002475 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,057 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,057 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,057 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,057 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2 task_id:f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,057 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=run_algorithm, id=cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,057 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=run_algorithm, id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,057 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=run_algorithm, id=29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.003446 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5 task_id:cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4 task_id:6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.003244 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,058 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - finished processing client result by controller\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,059 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,059 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1 task_id:29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,059 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.003021 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,059 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,059 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,059 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.002907 seconds\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,059 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - task result sent to server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,059 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,107 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task run_algorithm exit with status TaskCompletionStatus.OK\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,107 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow: controller finalizing ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,108 - P2PAlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - BaseController stopped\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,108 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - ABOUT_TO_END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ReliableMessage - INFO - ReliableMessage is shutdown\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ObjectStreamer - INFO - Stream Runer is Shut Down\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Server runner finished.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:33,942 - SimulatorServer - INFO - Server app stopped.\n", + "\n", + "\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:33,949 - ReliableMessage - INFO - shutdown reliable message monitor\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,067 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,068 - GetTaskCommand - INFO - return task to client. client_name: site-3 task_name: __end_run__ task_id: sharable_header_task_id: \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,070 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,070 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,071 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,072 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,072 - GetTaskCommand - INFO - return task to client. client_name: site-2 task_name: __end_run__ task_id: sharable_header_task_id: \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,072 - GetTaskCommand - INFO - return task to client. client_name: site-4 task_name: __end_run__ task_id: sharable_header_task_id: \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,073 - GetTaskCommand - INFO - return task to client. client_name: site-5 task_name: __end_run__ task_id: sharable_header_task_id: \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,073 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,073 - GetTaskCommand - INFO - return task to client. client_name: site-1 task_name: __end_run__ task_id: sharable_header_task_id: \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,073 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,074 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - started end-run events sequence\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,074 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n", + "\u001b[33m2025-01-31 10:43:34,075 - Communicator - WARNING - Failed to get_task from simulator_server server. Will try it again.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,075 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,075 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,076 - FederatedClient - INFO - pull_task completed. Task name:None Status:False \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,076 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,076 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - started end-run events sequence\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,077 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,077 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,077 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,077 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,077 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,078 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - started end-run events sequence\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,078 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n", + "\u001b[33m2025-01-31 10:43:34,078 - Communicator - WARNING - Failed to get_task from simulator_server server. Will try it again.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,078 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,078 - FederatedClient - INFO - pull_task completed. Task name:None Status:False \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,078 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,079 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-3 \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,079 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-2 \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - started end-run events sequence\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,079 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n", + "\u001b[33m2025-01-31 10:43:34,079 - Cell - WARNING - Receiving unknown req_id='a9ad8558-922d-4a2d-8b68-4c2d6e450e28', discarded: 'a9ad8558-922d-4a2d-8b68-4c2d6e450e28' headers: {'cn__return_code': 'ok', 'cn__req_id': '', 'cn__msg_type': 'req', 'sm__ri': 'a9ad8558-922d-4a2d-8b68-4c2d6e450e28', 'sm__pe': 'fobs', 'cn__payload_len': 459, 'sm__ch': 'return_only', 'sm__tp': 'server_command:get_task', 'sm__sz': 459, 'sm__id': 1738360030169108, 'sm__dt': 2, 'sm__sq': 0, 'sm__os': 0, 'sm__op': True, 'cn__reply_expected': False, 'cn__optional': True, 'cn__secure': False, 'cn__topic': 'sm__DATA', 'cn__channel': 'sm__STREAM', 'cn__destination': 'site-5.simulate_job', 'cn__from': 'server', 'cn__to': 'site-5.simulate_job', 'cn__origin': 'server.simulate_job', 'cn__route': [['server.simulate_job', 1738320214.076976], ['server', 1738320214.0770261], ('site-5.simulate_job', 1738320214.0791261)], 'cn__send_time': 1738320214.077028}\u001b[0m\n", + "\u001b[33m2025-01-31 10:43:34,079 - Cell - WARNING - Receiving unknown req_id='9e1feaab-50af-4e97-a33e-ae25ae7c7878', discarded: '9e1feaab-50af-4e97-a33e-ae25ae7c7878' headers: {'cn__return_code': 'ok', 'cn__req_id': '', 'cn__msg_type': 'req', 'sm__ri': '9e1feaab-50af-4e97-a33e-ae25ae7c7878', 'sm__pe': 'fobs', 'cn__payload_len': 459, 'sm__ch': 'return_only', 'sm__tp': 'server_command:get_task', 'sm__sz': 459, 'sm__id': 1738360030169109, 'sm__dt': 2, 'sm__sq': 0, 'sm__os': 0, 'sm__op': True, 'cn__reply_expected': False, 'cn__optional': True, 'cn__secure': False, 'cn__topic': 'sm__DATA', 'cn__channel': 'sm__STREAM', 'cn__destination': 'site-2.simulate_job', 'cn__from': 'server', 'cn__to': 'site-2.simulate_job', 'cn__origin': 'server.simulate_job', 'cn__route': [['server.simulate_job', 1738320214.078249], ['server', 1738320214.078298], ('site-2.simulate_job', 1738320214.0791411)], 'cn__send_time': 1738320214.0783}\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - started end-run events sequence\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,080 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,080 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-1 \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - END_RUN fired\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,080 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39848\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,081 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,081 - conn_manager - INFO - Connection [CN00008 Not Connected] is closed PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,081 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-4 \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,081 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39847\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,081 - conn_manager - INFO - Connection [CN00011 Not Connected] is closed PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,081 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-5 \u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,082 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39846\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,082 - conn_manager - INFO - Connection [CN00010 Not Connected] is closed PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,083 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39849\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,083 - conn_manager - INFO - Connection [CN00012 Not Connected] is closed PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,083 - FederatedClient - INFO - Shutting down client run: site-1\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,084 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39850\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,084 - conn_manager - INFO - Connection [CN00009 Not Connected] is closed PID: 39829\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,084 - FederatedClient - INFO - Shutting down client run: site-2\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,084 - FederatedClient - INFO - Shutting down client run: site-3\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,085 - FederatedClient - INFO - Shutting down client run: site-4\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,085 - FederatedClient - INFO - Shutting down client run: site-5\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,085 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - asked to abort - triggered abort_signal to stop the RUN\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,400 - hci - INFO - Admin Server localhost on Port 57865 shutdown!\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,400 - SimulatorServer - INFO - shutting down server\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,400 - SimulatorServer - INFO - canceling sync locks\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:34,400 - SimulatorServer - INFO - server off\u001b[0m\n", + "\u001b[38m2025-01-31 10:43:37,873 - MPM - INFO - MPM: Good Bye!\u001b[0m\n" + ] + } + ], + "source": [ + "# run\n", + "job.export_job(\"./tmp/job_configs\")\n", + "job.simulator_run(\"./tmp/runs/consensus\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, since in this toy example we have access to both the intial values and the adjacency matrix, we can compute the consensus value at which the clients will converge." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/82/970ljrw529v0chx2svm8gwwr0000gp/T/ipykernel_39797/4202699194.py:6: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n", + " f\"site-{i+1}\": torch.load(f\"tmp/runs/consensus/site-{i+1}/value_sequence.pt\") for i in range(num_clients)\n", + "/Users/ffarina/Documents/code/NVFlare/nvflare/app_opt/p2p/utils/topology.py:37: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/Copy.cpp:308.)\n", + " idx = eigenvalues.float().argsort(descending=True)\n" + ] + }, + { + "data": { + "text/html": [ + "
Consensus value: 0.47792279720306396\n",
+       "
\n" + ], + "text/plain": [ + "Consensus value: \u001b[1;36m0.47792279720306396\u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import torch\n", + "\n", + "from nvflare.app_opt.p2p.utils.topology import get_matrix_steady_state\n", + "\n", + "history = {\n", + " f\"site-{i+1}\": torch.load(f\"tmp/runs/consensus/site-{i+1}/value_sequence.pt\") for i in range(num_clients)\n", + "}\n", + "x0=torch.tensor([h[0] for name, h in history.items()]).t()\n", + "consensus_value = x0 @ get_matrix_steady_state(adjacency_matrix)\n", + "print(f\"Consensus value: {consensus_value}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By inspecting the history/results, we can easily see that all the clients successfully converged to the expected consensus value. " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "# plot results\n", + "plt.figure()\n", + "for i in range(num_clients):\n", + " plt.plot(history[f\"site-{i+1}\"], label=f\"site-{i+1}\")\n", + "plt.axhline(y=consensus_value, color='k', linestyle=\"--\", label=\"Consensus value\")\n", + "plt.legend()\n", + "plt.title(\"Evolution of local values\")\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/README.md 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\u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m,\n", - " \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m\n", - " \u001b[1m]\u001b[0m\n", - " \u001b[1m)\u001b[0m,\n", - " \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333333333333\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n", - " \u001b[1m]\u001b[0m\n", - " \u001b[1m)\u001b[0m,\n", - " \u001b[33mextra\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'iterations'\u001b[0m: \u001b[1;36m50\u001b[0m\u001b[1m}\u001b[0m\n", - "\u001b[1m)\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from rich import print\n", - "\n", - "print(config)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Instantiating and running the distributed algorithm\n", - "\n", - "Now that we have all the configurations, we can instantiate the clients and a controller." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "from nvflare.job_config.api import FedJob\n", - "from nvdo.executors import ConsensusExecutor\n", - "from nvdo.controllers import AlgorithmController\n", - "\n", - "# Create job\n", - "job = FedJob(name=\"consensus\")\n", - "\n", - "# send controller to server\n", - "controller = AlgorithmController(config=config)\n", - "job.to_server(controller)\n", - "\n", - "# Add clients\n", - "for i in range(num_clients):\n", - " executor = ConsensusExecutor() # the executor will be initialized with a random value\n", - " job.to(executor, f\"site-{i+1}\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we can run the algorithm" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "2025-01-29 09:52:48,639 - SimulatorRunner - INFO - Create the Simulator Server.\n", - "2025-01-29 09:52:48,642 - CoreCell - INFO - server: creating listener on tcp://0:52347\n", - "2025-01-29 09:52:48,681 - CoreCell - INFO - server: created backbone external listener for tcp://0:52347\n", - "2025-01-29 09:52:48,681 - ConnectorManager - INFO - 40803: Try start_listener Listener resources: {'secure': False, 'host': 'localhost'}\n", - "2025-01-29 09:52:48,682 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00002 PASSIVE tcp://0:12575] is starting\n", - "2025-01-29 09:52:49,183 - CoreCell - INFO - server: created backbone internal listener for tcp://localhost:12575\n", - "2025-01-29 09:52:49,183 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 PASSIVE tcp://0:52347] is starting\n", - "2025-01-29 09:52:49,184 - SimulatorServer - INFO - max_reg_duration=60.0\n", - "2025-01-29 09:52:49,214 - nvflare.fuel.hci.server.hci - INFO - Starting Admin Server localhost on Port 52348\n", - "2025-01-29 09:52:49,214 - SimulatorRunner - INFO - Deploy the Apps.\n", - "2025-01-29 09:52:49,271 - SimulatorRunner - INFO - Create the simulate clients.\n", - "2025-01-29 09:52:49,273 - Communicator - INFO - Trying to register with server ...\n", - "2025-01-29 09:52:49,274 - ClientManager - INFO - authenticated client site-1\n", - "2025-01-29 09:52:49,274 - ClientManager - INFO - Client: New client site-1@10.2.185.164 joined. Sent token: 52a5b8f8-7212-4b8d-9030-ac9f114421fa. Total clients: 1\n", - "2025-01-29 09:52:49,274 - Communicator - INFO - register RC: ok\n", - "2025-01-29 09:52:49,274 - FederatedClient - INFO - Successfully registered client:site-1 for project simulator_server. Token:52a5b8f8-7212-4b8d-9030-ac9f114421fa SSID:\n", - "2025-01-29 09:52:49,274 - Communicator - INFO - Trying to register with server ...\n", - "2025-01-29 09:52:49,275 - ClientManager - INFO - authenticated client site-2\n", - "2025-01-29 09:52:49,275 - ClientManager - INFO - Client: New client site-2@10.2.185.164 joined. Sent token: 7f091ff0-d372-4f6a-ab12-7abea650e0ed. Total clients: 2\n", - "2025-01-29 09:52:49,275 - Communicator - INFO - register RC: ok\n", - "2025-01-29 09:52:49,275 - FederatedClient - INFO - Successfully registered client:site-2 for project simulator_server. Token:7f091ff0-d372-4f6a-ab12-7abea650e0ed SSID:\n", - "2025-01-29 09:52:49,275 - Communicator - INFO - Trying to register with server ...\n", - "2025-01-29 09:52:49,275 - ClientManager - INFO - authenticated client site-3\n", - "2025-01-29 09:52:49,275 - ClientManager - INFO - Client: New client site-3@10.2.185.164 joined. Sent token: 17b50b63-378d-402c-9537-1d09edf1d9b5. Total clients: 3\n", - "2025-01-29 09:52:49,275 - Communicator - INFO - register RC: ok\n", - "2025-01-29 09:52:49,276 - FederatedClient - INFO - Successfully registered client:site-3 for project simulator_server. Token:17b50b63-378d-402c-9537-1d09edf1d9b5 SSID:\n", - "2025-01-29 09:52:49,276 - Communicator - INFO - Trying to register with server ...\n", - "2025-01-29 09:52:49,276 - ClientManager - INFO - authenticated client site-4\n", - "2025-01-29 09:52:49,276 - ClientManager - INFO - Client: New client site-4@10.2.185.164 joined. Sent token: 8cd02ee9-686e-4f58-9e18-10b48a4f0239. Total clients: 4\n", - "2025-01-29 09:52:49,276 - Communicator - INFO - register RC: ok\n", - "2025-01-29 09:52:49,276 - FederatedClient - INFO - Successfully registered client:site-4 for project simulator_server. Token:8cd02ee9-686e-4f58-9e18-10b48a4f0239 SSID:\n", - "2025-01-29 09:52:49,277 - Communicator - INFO - Trying to register with server ...\n", - "2025-01-29 09:52:49,277 - ClientManager - INFO - authenticated client site-5\n", - "2025-01-29 09:52:49,277 - ClientManager - INFO - Client: New client site-5@10.2.185.164 joined. Sent token: d757d2ec-68a5-40a4-808f-9f5dc141903d. Total clients: 5\n", - "2025-01-29 09:52:49,277 - Communicator - INFO - register RC: ok\n", - "2025-01-29 09:52:49,277 - FederatedClient - INFO - Successfully registered client:site-5 for project simulator_server. Token:d757d2ec-68a5-40a4-808f-9f5dc141903d SSID:\n", - "2025-01-29 09:52:49,277 - SimulatorRunner - INFO - Set the client status ready.\n", - "2025-01-29 09:52:49,277 - SimulatorRunner - INFO - Deploy and start the Server App.\n", - "2025-01-29 09:52:49,278 - Cell - INFO - Register blob CB for channel='server_command', topic='*'\n", - "2025-01-29 09:52:49,278 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", - "2025-01-29 09:52:49,278 - ServerCommandAgent - INFO - ServerCommandAgent cell register_request_cb: server.simulate_job\n", - "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic __sync_runner__\n", - "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic __job_heartbeat__\n", - "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic __task_check__\n", - "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", - "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", - "2025-01-29 09:52:49,287 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", - "2025-01-29 09:52:49,287 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job]: Server runner starting ...\n", - "2025-01-29 09:52:49,287 - AuxRunner - INFO - registered aux handler for topic fed.event\n", - "2025-01-29 09:52:49,287 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job]: starting workflow controller () ...\n", - "2025-01-29 09:52:49,287 - AlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: BaseController started\n", - "2025-01-29 09:52:49,287 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: Workflow controller () started\n", - "2025-01-29 09:52:49,287 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", - "2025-01-29 09:52:50,281 - SimulatorClientRunner - INFO - Start the clients run simulation.\n", - "2025-01-29 09:52:51,282 - SimulatorClientRunner - INFO - Simulate Run client: site-1 on GPU group: None\n", - "2025-01-29 09:52:51,282 - SimulatorClientRunner - INFO - Simulate Run client: site-2 on GPU group: None\n", - "2025-01-29 09:52:51,282 - SimulatorClientRunner - INFO - Simulate Run client: site-3 on GPU group: None\n", - "2025-01-29 09:52:51,282 - SimulatorClientRunner - INFO - Simulate Run client: site-4 on GPU group: None\n", - "2025-01-29 09:52:51,288 - SimulatorClientRunner - INFO - Simulate Run client: site-5 on GPU group: None\n", - "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", - "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", - "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", - "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", - "2025-01-29 09:52:52,300 - ClientTaskWorker - INFO - ClientTaskWorker started to run\n", - "2025-01-29 09:52:52,341 - CoreCell - INFO - site-5.simulate_job: created backbone external connector to tcp://localhost:52347\n", - "2025-01-29 09:52:52,341 - CoreCell - INFO - site-2.simulate_job: created backbone external connector to tcp://localhost:52347\n", - "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", - "2025-01-29 09:52:52,341 - CoreCell - INFO - site-3.simulate_job: created backbone external connector to tcp://localhost:52347\n", - "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", - "2025-01-29 09:52:52,341 - CoreCell - INFO - site-4.simulate_job: created backbone external connector to tcp://localhost:52347\n", - "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", - "2025-01-29 09:52:52,341 - CoreCell - INFO - site-1.simulate_job: created backbone external connector to tcp://localhost:52347\n", - "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", - "2025-01-29 09:52:52,341 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:52347] is starting\n", - "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52432 => 127.0.0.1:52347] is created: PID: 40816\n", - "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52433 => 127.0.0.1:52347] is created: PID: 40817\n", - "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52434 => 127.0.0.1:52347] is created: PID: 40818\n", - "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52431 => 127.0.0.1:52347] is created: PID: 40814\n", - "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 127.0.0.1:52435 => 127.0.0.1:52347] is created: PID: 40815\n", - "2025-01-29 09:52:52,342 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00008 127.0.0.1:52347 <= 127.0.0.1:52432] is created: PID: 40803\n", - "2025-01-29 09:52:52,343 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00009 127.0.0.1:52347 <= 127.0.0.1:52433] is created: PID: 40803\n", - "2025-01-29 09:52:52,343 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00010 127.0.0.1:52347 <= 127.0.0.1:52434] is created: PID: 40803\n", - "2025-01-29 09:52:52,343 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00011 127.0.0.1:52347 <= 127.0.0.1:52431] is created: PID: 40803\n", - "2025-01-29 09:52:52,343 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00012 127.0.0.1:52347 <= 127.0.0.1:52435] is created: PID: 40803\n", - "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", - "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", - "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", - "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", - "2025-01-29 09:52:52,465 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", - "2025-01-29 09:52:52,465 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", - "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", - "2025-01-29 09:52:52,465 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", - "2025-01-29 09:52:52,465 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", - "2025-01-29 09:52:52,466 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", - "2025-01-29 09:52:52,466 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", - "2025-01-29 09:52:52,467 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", - "2025-01-29 09:52:52,467 - AuxRunner - INFO - registered aux handler for topic __end_run__\n", - "2025-01-29 09:52:52,467 - AuxRunner - INFO - registered aux handler for topic __do_task__\n", - "2025-01-29 09:52:52,467 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\n", - "2025-01-29 09:52:52,972 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", - "2025-01-29 09:52:52,972 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", - "2025-01-29 09:52:52,972 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", - "2025-01-29 09:52:52,972 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", - "2025-01-29 09:52:52,974 - Cell - INFO - broadcast: channel='aux_communication', topic='__sync_runner__', targets=['server.simulate_job'], timeout=2.0\n", - "2025-01-29 09:52:52,982 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: synced to Server Runner in 0.5146529674530029 seconds\n", - "2025-01-29 09:52:52,982 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", - "2025-01-29 09:52:52,982 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", - "2025-01-29 09:52:52,983 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", - "2025-01-29 09:52:52,983 - AuxRunner - INFO - registered aux handler for topic send_value\n", - "2025-01-29 09:52:52,983 - AuxRunner - INFO - registered aux handler for topic fed.event\n", - "2025-01-29 09:52:52,983 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: client runner started\n", - "2025-01-29 09:52:52,984 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-4\n", - "2025-01-29 09:52:52,984 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: synced to Server Runner in 0.5164279937744141 seconds\n", - "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", - "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", - "2025-01-29 09:52:52,985 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", - "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic send_value\n", - "2025-01-29 09:52:52,985 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: synced to Server Runner in 0.5183467864990234 seconds\n", - "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic fed.event\n", - "2025-01-29 09:52:52,985 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: client runner started\n", - "2025-01-29 09:52:52,985 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-5\n", - "2025-01-29 09:52:52,985 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", - "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", - "2025-01-29 09:52:52,986 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: synced to Server Runner in 0.5172262191772461 seconds\n", - "2025-01-29 09:52:52,986 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", - "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", - "2025-01-29 09:52:52,986 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: synced to Server Runner in 0.5189590454101562 seconds\n", - "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", - "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\n", - "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic send_value\n", - "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\n", - "2025-01-29 09:52:52,986 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", - "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic fed.event\n", - "2025-01-29 09:52:52,986 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: client runner started\n", - "2025-01-29 09:52:52,986 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-2\n", - "2025-01-29 09:52:52,986 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\n", - "2025-01-29 09:52:52,986 - AuxRunner - INFO - registered aux handler for topic send_value\n", - "2025-01-29 09:52:52,987 - AuxRunner - INFO - registered aux handler for topic fed.event\n", - "2025-01-29 09:52:52,987 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: client runner started\n", - "2025-01-29 09:52:52,987 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-1\n", - "2025-01-29 09:52:52,987 - AuxRunner - INFO - registered aux handler for topic send_value\n", - "2025-01-29 09:52:52,987 - AuxRunner - INFO - registered aux handler for topic fed.event\n", - "2025-01-29 09:52:52,987 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: client runner started\n", - "2025-01-29 09:52:52,987 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-3\n", - "2025-01-29 09:52:52,991 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: assigned task to client site-1: name=config, id=eff69353-3cd2-4d7f-8605-865b815810e6\n", - "2025-01-29 09:52:52,991 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: sent task assignment to client. client_name:site-1 task_id:eff69353-3cd2-4d7f-8605-865b815810e6\n", - "2025-01-29 09:52:52,991 - GetTaskCommand - INFO - return task to client. client_name: site-1 task_name: config task_id: eff69353-3cd2-4d7f-8605-865b815810e6 sharable_header_task_id: eff69353-3cd2-4d7f-8605-865b815810e6\n", - "2025-01-29 09:52:52,992 - Communicator - INFO - Received from simulator_server server. getTask: config size: 697B (697 Bytes) time: 0.004989 seconds\n", - "2025-01-29 09:52:52,992 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", - "2025-01-29 09:52:52,992 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=eff69353-3cd2-4d7f-8605-865b815810e6\n", - "2025-01-29 09:52:52,992 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:52,993 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: finished processing task\n", - "2025-01-29 09:52:52,993 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: try #1: sending task result to server\n", - "2025-01-29 09:52:52,993 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: checking task ...\n", - "2025-01-29 09:52:52,993 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:52,994 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: start to send task result to server\n", - "2025-01-29 09:52:52,994 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:52,995 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job]: got result from client site-1 for task: name=config, id=eff69353-3cd2-4d7f-8605-865b815810e6\n", - "2025-01-29 09:52:52,996 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: finished processing client result by controller\n", - "2025-01-29 09:52:52,996 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1 task_id:eff69353-3cd2-4d7f-8605-865b815810e6\n", - "2025-01-29 09:52:52,996 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.001696 seconds\n", - "2025-01-29 09:52:52,996 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=eff69353-3cd2-4d7f-8605-865b815810e6]: task result sent to server\n", - "2025-01-29 09:52:52,996 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\n", - "2025-01-29 09:52:53,156 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", - "2025-01-29 09:52:53,157 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", - "2025-01-29 09:52:53,501 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: assigned task to client site-2: name=config, id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", - "2025-01-29 09:52:53,501 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: sent task assignment to client. client_name:site-2 task_id:6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", - "2025-01-29 09:52:53,502 - GetTaskCommand - INFO - return task to client. client_name: site-2 task_name: config task_id: 6762b9e4-f062-4de8-80b3-c2ee6f0713fc sharable_header_task_id: 6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", - "2025-01-29 09:52:53,504 - Communicator - INFO - Received from simulator_server server. getTask: config size: 724B (724 Bytes) time: 0.008325 seconds\n", - "2025-01-29 09:52:53,505 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", - "2025-01-29 09:52:53,505 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", - "2025-01-29 09:52:53,506 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:53,506 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: finished processing task\n", - "2025-01-29 09:52:53,506 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: try #1: sending task result to server\n", - "2025-01-29 09:52:53,506 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: checking task ...\n", - "2025-01-29 09:52:53,507 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:53,510 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: start to send task result to server\n", - "2025-01-29 09:52:53,510 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:53,511 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job]: got result from client site-2 for task: name=config, id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", - "2025-01-29 09:52:53,512 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: finished processing client result by controller\n", - "2025-01-29 09:52:53,512 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2 task_id:6762b9e4-f062-4de8-80b3-c2ee6f0713fc\n", - "2025-01-29 09:52:53,513 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.002503 seconds\n", - "2025-01-29 09:52:53,513 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6762b9e4-f062-4de8-80b3-c2ee6f0713fc]: task result sent to server\n", - "2025-01-29 09:52:53,513 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\n", - "2025-01-29 09:52:53,566 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", - "2025-01-29 09:52:53,764 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", - "2025-01-29 09:52:54,012 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: assigned task to client site-3: name=config, id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", - "2025-01-29 09:52:54,013 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: sent task assignment to client. client_name:site-3 task_id:cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", - "2025-01-29 09:52:54,013 - GetTaskCommand - INFO - return task to client. client_name: site-3 task_name: config task_id: cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6 sharable_header_task_id: cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", - "2025-01-29 09:52:54,015 - Communicator - INFO - Received from simulator_server server. getTask: config size: 724B (724 Bytes) time: 0.008097 seconds\n", - "2025-01-29 09:52:54,016 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", - "2025-01-29 09:52:54,016 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", - "2025-01-29 09:52:54,016 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:54,017 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: finished processing task\n", - "2025-01-29 09:52:54,017 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: try #1: sending task result to server\n", - "2025-01-29 09:52:54,017 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: checking task ...\n", - "2025-01-29 09:52:54,017 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:54,021 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: start to send task result to server\n", - "2025-01-29 09:52:54,021 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:54,022 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job]: got result from client site-3 for task: name=config, id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", - "2025-01-29 09:52:54,023 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: finished processing client result by controller\n", - "2025-01-29 09:52:54,023 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3 task_id:cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6\n", - "2025-01-29 09:52:54,024 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.002916 seconds\n", - "2025-01-29 09:52:54,024 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cc4982bd-cb5c-43d3-ae2f-acd52fa7e6b6]: task result sent to server\n", - "2025-01-29 09:52:54,024 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\n", - "2025-01-29 09:52:54,182 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", - "2025-01-29 09:52:54,375 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", - "2025-01-29 09:52:56,016 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: assigned task to client site-4: name=config, id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", - "2025-01-29 09:52:56,016 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: sent task assignment to client. client_name:site-4 task_id:c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", - "2025-01-29 09:52:56,016 - GetTaskCommand - INFO - return task to client. client_name: site-4 task_name: config task_id: c4a9e9bb-4477-42d9-9cbc-6e83679ca768 sharable_header_task_id: c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", - "2025-01-29 09:52:56,017 - Communicator - INFO - Received from simulator_server server. getTask: config size: 724B (724 Bytes) time: 0.001911 seconds\n", - "2025-01-29 09:52:56,017 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", - "2025-01-29 09:52:56,017 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", - "2025-01-29 09:52:56,017 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:56,018 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: finished processing task\n", - "2025-01-29 09:52:56,018 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: try #1: sending task result to server\n", - "2025-01-29 09:52:56,018 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: checking task ...\n", - "2025-01-29 09:52:56,018 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:56,019 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: start to send task result to server\n", - "2025-01-29 09:52:56,019 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:56,020 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job]: got result from client site-4 for task: name=config, id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", - "2025-01-29 09:52:56,020 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: finished processing client result by controller\n", - "2025-01-29 09:52:56,020 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4 task_id:c4a9e9bb-4477-42d9-9cbc-6e83679ca768\n", - "2025-01-29 09:52:56,020 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.001337 seconds\n", - "2025-01-29 09:52:56,021 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=c4a9e9bb-4477-42d9-9cbc-6e83679ca768]: task result sent to server\n", - "2025-01-29 09:52:56,021 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\n", - "2025-01-29 09:52:56,023 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", - "2025-01-29 09:52:56,217 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task config\n", - "2025-01-29 09:52:56,522 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: assigned task to client site-5: name=config, id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", - "2025-01-29 09:52:56,522 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: sent task assignment to client. client_name:site-5 task_id:7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", - "2025-01-29 09:52:56,522 - GetTaskCommand - INFO - return task to client. client_name: site-5 task_name: config task_id: 7f3c2f75-5a3d-4dde-b7da-bb787d2bc652 sharable_header_task_id: 7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", - "2025-01-29 09:52:56,523 - Communicator - INFO - Received from simulator_server server. getTask: config size: 697B (697 Bytes) time: 0.002758 seconds\n", - "2025-01-29 09:52:56,523 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \n", - "2025-01-29 09:52:56,523 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=config, id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", - "2025-01-29 09:52:56,524 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:56,524 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: finished processing task\n", - "2025-01-29 09:52:56,524 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: try #1: sending task result to server\n", - "2025-01-29 09:52:56,524 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: checking task ...\n", - "2025-01-29 09:52:56,524 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:56,526 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: start to send task result to server\n", - "2025-01-29 09:52:56,526 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:56,527 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job]: got result from client site-5 for task: name=config, id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", - "2025-01-29 09:52:56,527 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: finished processing client result by controller\n", - "2025-01-29 09:52:56,527 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5 task_id:7f3c2f75-5a3d-4dde-b7da-bb787d2bc652\n", - "2025-01-29 09:52:56,528 - Communicator - INFO - SubmitUpdate size: 606B (606 Bytes). time: 0.001539 seconds\n", - "2025-01-29 09:52:56,528 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7f3c2f75-5a3d-4dde-b7da-bb787d2bc652]: task result sent to server\n", - "2025-01-29 09:52:56,528 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\n", - "2025-01-29 09:52:56,637 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task config exit with status TaskCompletionStatus.OK\n", - "2025-01-29 09:52:56,832 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: scheduled task run_algorithm\n", - "2025-01-29 09:52:57,043 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: assigned task to client site-3: name=run_algorithm, id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", - "2025-01-29 09:52:57,044 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: sent task assignment to client. client_name:site-3 task_id:6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", - "2025-01-29 09:52:57,044 - GetTaskCommand - INFO - return task to client. client_name: site-3 task_name: run_algorithm task_id: 6b6da7a8-398f-41bc-859c-7fc227cb0ddb sharable_header_task_id: 6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", - "2025-01-29 09:52:57,045 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.004508 seconds\n", - "2025-01-29 09:52:57,046 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", - "2025-01-29 09:52:57,046 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", - "2025-01-29 09:52:57,046 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:57,046 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,024 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: assigned task to client site-1: name=run_algorithm, id=effc72b6-cc30-4c3d-af4c-37906a2c853f\n", - "2025-01-29 09:52:58,024 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: sent task assignment to client. client_name:site-1 task_id:effc72b6-cc30-4c3d-af4c-37906a2c853f\n", - "2025-01-29 09:52:58,024 - GetTaskCommand - INFO - return task to client. client_name: site-1 task_name: run_algorithm task_id: effc72b6-cc30-4c3d-af4c-37906a2c853f sharable_header_task_id: effc72b6-cc30-4c3d-af4c-37906a2c853f\n", - "2025-01-29 09:52:58,026 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.004612 seconds\n", - "2025-01-29 09:52:58,026 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", - "2025-01-29 09:52:58,026 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=effc72b6-cc30-4c3d-af4c-37906a2c853f\n", - "2025-01-29 09:52:58,026 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:58,027 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,028 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: assigned task to client site-4: name=run_algorithm, id=29e31196-da1c-494c-8185-ae62822065f0\n", - "2025-01-29 09:52:58,028 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: sent task assignment to client. client_name:site-4 task_id:29e31196-da1c-494c-8185-ae62822065f0\n", - "2025-01-29 09:52:58,028 - GetTaskCommand - INFO - return task to client. client_name: site-4 task_name: run_algorithm task_id: 29e31196-da1c-494c-8185-ae62822065f0 sharable_header_task_id: 29e31196-da1c-494c-8185-ae62822065f0\n", - "2025-01-29 09:52:58,029 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.003091 seconds\n", - "2025-01-29 09:52:58,029 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", - "2025-01-29 09:52:58,029 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=29e31196-da1c-494c-8185-ae62822065f0\n", - "2025-01-29 09:52:58,030 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:58,030 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,030 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,531 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: assigned task to client site-5: name=run_algorithm, id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", - "2025-01-29 09:52:58,532 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: sent task assignment to client. client_name:site-5 task_id:4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", - "2025-01-29 09:52:58,532 - GetTaskCommand - INFO - return task to client. client_name: site-5 task_name: run_algorithm task_id: 4c21ac3e-5360-4056-b30b-0ec27ea0aacd sharable_header_task_id: 4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", - "2025-01-29 09:52:58,533 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: assigned task to client site-2: name=run_algorithm, id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", - "2025-01-29 09:52:58,533 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: sent task assignment to client. client_name:site-2 task_id:7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", - "2025-01-29 09:52:58,533 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.002873 seconds\n", - "2025-01-29 09:52:58,533 - GetTaskCommand - INFO - return task to client. client_name: site-2 task_name: run_algorithm task_id: 7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc sharable_header_task_id: 7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", - "2025-01-29 09:52:58,533 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", - "2025-01-29 09:52:58,533 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", - "2025-01-29 09:52:58,533 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:58,534 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,534 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 685B (685 Bytes) time: 0.003075 seconds\n", - "2025-01-29 09:52:58,534 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \n", - "2025-01-29 09:52:58,534 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: got task assignment: name=run_algorithm, id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", - "2025-01-29 09:52:58,534 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: invoking task executor ConsensusExecutor\n", - "2025-01-29 09:52:58,534 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,536 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,537 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,537 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,538 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,538 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,539 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,541 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,541 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,541 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,542 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,543 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,544 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,544 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,544 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,545 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,546 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,547 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,547 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,547 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,548 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,549 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,549 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,549 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,550 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,551 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,552 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,552 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,552 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,552 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,553 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,554 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,554 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,554 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,554 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,556 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,556 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,557 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,557 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,557 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,558 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,558 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,559 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,559 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,559 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,560 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,560 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,561 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,561 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,561 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,562 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,562 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,563 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,563 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,563 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,564 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,565 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,565 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,565 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,566 - Cell - 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Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,584 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,585 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,586 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,586 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,586 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,586 - Cell - 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Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,594 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,595 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,596 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,596 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,596 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,597 - Cell - 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broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,611 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,611 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,611 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,611 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,612 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,613 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,613 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,613 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,613 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,614 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,615 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,615 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,615 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,615 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,616 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,617 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,618 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,619 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,619 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,619 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,619 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,620 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,621 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,621 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,621 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,621 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,622 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,622 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,623 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,623 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,623 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,624 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,624 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,624 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,625 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,625 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,626 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,626 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,626 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,627 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,627 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,628 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,629 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,629 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,629 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,629 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,630 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,630 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,630 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,631 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,632 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,632 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,633 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,633 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,633 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,634 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,634 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,635 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,635 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,635 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,635 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,637 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,638 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,639 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,639 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,639 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,640 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,640 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,640 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-1.simulate_job', 'site-2.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,641 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-3.simulate_job', 'site-4.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,641 - Cell - INFO - broadcast: channel='aux_communication', topic='send_value', targets=['site-2.simulate_job', 'site-5.simulate_job'], timeout=10\n", - "2025-01-29 09:52:58,642 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: finished processing task\n", - "2025-01-29 09:52:58,642 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: try #1: sending task result to server\n", - "2025-01-29 09:52:58,642 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: checking task ...\n", - "2025-01-29 09:52:58,642 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: finished processing task\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: try #1: sending task result to server\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: checking task ...\n", - "2025-01-29 09:52:58,643 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: finished processing task\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: finished processing task\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: try #1: sending task result to server\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: checking task ...\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: try #1: sending task result to server\n", - "2025-01-29 09:52:58,643 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: checking task ...\n", - "2025-01-29 09:52:58,643 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: finished processing task\n", - "2025-01-29 09:52:58,643 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: start to send task result to server\n", - "2025-01-29 09:52:58,643 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:58,644 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: try #1: sending task result to server\n", - "2025-01-29 09:52:58,644 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: checking task ...\n", - "2025-01-29 09:52:58,644 - Cell - INFO - broadcast: channel='aux_communication', topic='__task_check__', targets=['server.simulate_job'], timeout=5.0\n", - "2025-01-29 09:52:58,644 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: start to send task result to server\n", - "2025-01-29 09:52:58,644 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:58,645 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: start to send task result to server\n", - "2025-01-29 09:52:58,645 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:58,645 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job]: got result from client site-1 for task: name=run_algorithm, id=effc72b6-cc30-4c3d-af4c-37906a2c853f\n", - "2025-01-29 09:52:58,645 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: finished processing client result by controller\n", - "2025-01-29 09:52:58,645 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1 task_id:effc72b6-cc30-4c3d-af4c-37906a2c853f\n", - "2025-01-29 09:52:58,645 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: start to send task result to server\n", - "2025-01-29 09:52:58,645 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:58,646 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job]: got result from client site-3 for task: name=run_algorithm, id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", - "2025-01-29 09:52:58,646 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: finished processing client result by controller\n", - "2025-01-29 09:52:58,646 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3 task_id:6b6da7a8-398f-41bc-859c-7fc227cb0ddb\n", - "2025-01-29 09:52:58,646 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: start to send task result to server\n", - "2025-01-29 09:52:58,646 - FederatedClient - INFO - Starting to push execute result.\n", - "2025-01-29 09:52:58,647 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.003040 seconds\n", - "2025-01-29 09:52:58,647 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=effc72b6-cc30-4c3d-af4c-37906a2c853f]: task result sent to server\n", - "2025-01-29 09:52:58,647 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\n", - "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job]: got result from client site-5 for task: name=run_algorithm, id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", - "2025-01-29 09:52:58,647 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.002851 seconds\n", - "2025-01-29 09:52:58,647 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6b6da7a8-398f-41bc-859c-7fc227cb0ddb]: task result sent to server\n", - "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job]: got result from client site-2 for task: name=run_algorithm, id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", - "2025-01-29 09:52:58,647 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\n", - "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: finished processing client result by controller\n", - "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job]: got result from client site-4 for task: name=run_algorithm, id=29e31196-da1c-494c-8185-ae62822065f0\n", - "2025-01-29 09:52:58,647 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5 task_id:4c21ac3e-5360-4056-b30b-0ec27ea0aacd\n", - "2025-01-29 09:52:58,647 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: finished processing client result by controller\n", - "2025-01-29 09:52:58,647 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2 task_id:7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc\n", - "2025-01-29 09:52:58,648 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: finished processing client result by controller\n", - "2025-01-29 09:52:58,648 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.003004 seconds\n", - "2025-01-29 09:52:58,648 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=4c21ac3e-5360-4056-b30b-0ec27ea0aacd]: task result sent to server\n", - "2025-01-29 09:52:58,648 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4 task_id:29e31196-da1c-494c-8185-ae62822065f0\n", - "2025-01-29 09:52:58,648 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\n", - "2025-01-29 09:52:58,648 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.002399 seconds\n", - "2025-01-29 09:52:58,648 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=7971d6a9-d2d8-42f8-bac5-42bc07f9bfdc]: task result sent to server\n", - "2025-01-29 09:52:58,648 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\n", - "2025-01-29 09:52:58,648 - Communicator - INFO - SubmitUpdate size: 613B (613 Bytes). time: 0.001776 seconds\n", - "2025-01-29 09:52:58,648 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29e31196-da1c-494c-8185-ae62822065f0]: task result sent to server\n", - "2025-01-29 09:52:58,648 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\n", - "2025-01-29 09:52:58,673 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: task run_algorithm exit with status TaskCompletionStatus.OK\n", - "2025-01-29 09:52:58,870 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: Workflow: controller finalizing ...\n", - "2025-01-29 09:52:58,870 - AlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: BaseController stopped\n", - "2025-01-29 09:52:58,871 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: ABOUT_TO_END_RUN fired\n", - "2025-01-29 09:52:58,873 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", - "2025-01-29 09:52:58,874 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", - "2025-01-29 09:52:58,874 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", - "2025-01-29 09:52:58,874 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: Firing CHECK_END_RUN_READINESS ...\n", - "2025-01-29 09:52:58,875 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: END_RUN fired\n", - "2025-01-29 09:52:58,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", - "2025-01-29 09:52:58,875 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: received request from Server to end current RUN\n", - "2025-01-29 09:52:58,875 - ReliableMessage - INFO - ReliableMessage is shutdown\n", - "2025-01-29 09:52:58,875 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: Server runner finished.\n", - "2025-01-29 09:52:59,311 - ReliableMessage - INFO - shutdown reliable message monitor\n", - "2025-01-29 09:53:00,650 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", - "2025-01-29 09:53:00,651 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", - "2025-01-29 09:53:00,651 - GetTaskCommand - INFO - return task to client. client_name: site-4 task_name: __end_run__ task_id: sharable_header_task_id: \n", - "2025-01-29 09:53:00,651 - GetTaskCommand - INFO - return task to client. client_name: site-5 task_name: __end_run__ task_id: sharable_header_task_id: \n", - "2025-01-29 09:53:00,652 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: started end-run events sequence\n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: ABOUT_TO_END_RUN fired\n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", - "2025-01-29 09:53:00,652 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-4, run=simulate_job]: END_RUN fired\n", - "2025-01-29 09:53:00,652 - ClientTaskWorker - INFO - End the Simulator run.\n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: started end-run events sequence\n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: ABOUT_TO_END_RUN fired\n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", - "2025-01-29 09:53:00,652 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", - "2025-01-29 09:53:00,652 - ClientRunner - INFO - [identity=site-5, run=simulate_job]: END_RUN fired\n", - "2025-01-29 09:53:00,652 - ClientTaskWorker - INFO - End the Simulator run.\n", - "2025-01-29 09:53:00,652 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", - "2025-01-29 09:53:00,653 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-4 \n", - "2025-01-29 09:53:00,653 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job]: server runner is finalizing - asked client to end the run\n", - "2025-01-29 09:53:00,653 - GetTaskCommand - INFO - return task to client. client_name: site-1 task_name: __end_run__ task_id: sharable_header_task_id: \n", - "2025-01-29 09:53:00,653 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-5 \n", - "2025-01-29 09:53:00,653 - GetTaskCommand - INFO - return task to client. client_name: site-3 task_name: __end_run__ task_id: sharable_header_task_id: \n", - "2025-01-29 09:53:00,653 - GetTaskCommand - INFO - return task to client. client_name: site-2 task_name: __end_run__ task_id: sharable_header_task_id: \n", - "2025-01-29 09:53:00,653 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40816\n", - "2025-01-29 09:53:00,653 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00008 Not Connected] is closed PID: 40803\n", - "2025-01-29 09:53:00,654 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: started end-run events sequence\n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: ABOUT_TO_END_RUN fired\n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", - "2025-01-29 09:53:00,654 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40818\n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-1, run=simulate_job]: END_RUN fired\n", - "2025-01-29 09:53:00,654 - ClientTaskWorker - INFO - End the Simulator run.\n", - "2025-01-29 09:53:00,654 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00010 Not Connected] is closed PID: 40803\n", - "2025-01-29 09:53:00,654 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", - "2025-01-29 09:53:00,654 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-1 \n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: started end-run events sequence\n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: ABOUT_TO_END_RUN fired\n", - "2025-01-29 09:53:00,654 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", - "2025-01-29 09:53:00,654 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job]: server asked to end the run\n", - "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-3, run=simulate_job]: END_RUN fired\n", - "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: started end-run events sequence\n", - "2025-01-29 09:53:00,655 - ClientTaskWorker - INFO - End the Simulator run.\n", - "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: ABOUT_TO_END_RUN fired\n", - "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: Firing CHECK_END_RUN_READINESS ...\n", - "2025-01-29 09:53:00,655 - ClientRunner - INFO - [identity=site-2, run=simulate_job]: END_RUN fired\n", - "2025-01-29 09:53:00,655 - ClientTaskWorker - INFO - End the Simulator run.\n", - "2025-01-29 09:53:00,655 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-3 \n", - "2025-01-29 09:53:00,655 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00011 Not Connected] is closed PID: 40803\n", - "2025-01-29 09:53:00,655 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40814\n", - "2025-01-29 09:53:00,655 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-2 \n", - "2025-01-29 09:53:00,655 - FederatedClient - INFO - Shutting down client run: site-1\n", - "2025-01-29 09:53:00,655 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40817\n", - "2025-01-29 09:53:00,655 - FederatedClient - INFO - Shutting down client run: site-2\n", - "2025-01-29 09:53:00,656 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00009 Not Connected] is closed PID: 40803\n", - "2025-01-29 09:53:00,656 - FederatedClient - INFO - Shutting down client run: site-3\n", - "2025-01-29 09:53:00,656 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 40815\n", - "2025-01-29 09:53:00,656 - FederatedClient - INFO - Shutting down client run: site-4\n", - "2025-01-29 09:53:00,656 - nvflare.fuel.f3.sfm.conn_manager - INFO - Connection [CN00012 Not Connected] is closed PID: 40803\n", - "2025-01-29 09:53:00,656 - FederatedClient - INFO - Shutting down client run: site-5\n", - "2025-01-29 09:53:00,656 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller]: asked to abort - triggered abort_signal to stop the RUN\n", - "2025-01-29 09:53:01,307 - SimulatorServer - INFO - Server app stopped.\n", - "\n", - "\n", - "2025-01-29 09:53:01,738 - nvflare.fuel.hci.server.hci - INFO - Admin Server localhost on Port 52348 shutdown!\n", - "2025-01-29 09:53:01,738 - SimulatorServer - INFO - shutting down server\n", - "2025-01-29 09:53:01,738 - SimulatorServer - INFO - canceling sync locks\n", - "2025-01-29 09:53:01,738 - SimulatorServer - INFO - server off\n", - "2025-01-29 09:53:05,222 - MPM - INFO - MPM: Good Bye!\n" - ] - } - ], - "source": [ - "# run\n", - "job.export_job(\"./tmp/job_configs\")\n", - "job.simulator_run(\"./tmp/runs/consensus\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, since in this toy example we have access to both the intial values and the adjacency matrix, we can compute the consensus value at which the clients will converge." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

Consensus value: 0.5351105719804765\n",
-       "
\n" - ], - "text/plain": [ - "Consensus value: \u001b[1;36m0.5351105719804765\u001b[0m\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import pickle\n", - "import torch\n", - "\n", - "from nvdo.utils.topology import get_matrix_steady_state\n", - "\n", - "history = {\n", - " f\"site-{i+1}\": pickle.load(open(f\"tmp/runs/consensus/site-{i+1}/results.pkl\", \"rb\")) for i in range(num_clients)\n", - "}\n", - "x0=torch.tensor([h[0] for name, h in history.items()]).t()\n", - "consensus_value = x0 @ get_matrix_steady_state(adjacency_matrix)\n", - "print(f\"Consensus value: {consensus_value}\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By inspecting the history/results, we can easily see that all the clients successfully converged to the expected consensus value. " - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "# plot results\n", - "plt.figure()\n", - "for i in range(num_clients):\n", - " plt.plot(history[f\"site-{i+1}\"], label=f\"site-{i+1}\")\n", - "plt.axhline(y=consensus_value, color='k', linestyle=\"--\", label=\"Consensus value\")\n", - "plt.legend()\n", - "plt.title(\"Evolution of local values\")\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.7" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/advanced/distributed_optimization/examples/2-two_moons/dgd_results.png 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ztC%3bMzLV@3wsOyR; zD(~qlUcD-uh|MtLVu8J0E8`IY%=U|O4Jt5rK)vMT3$@k= 61.0"] -build-backend = "setuptools.build_meta" - -[tool.setuptools] -packages = ["nvdo"] - -[project] -name = "nvdo" -version = "0.0.1" -description = "Distributed optimization with NVFlare" -readme = "README.md" -requires-python = ">=3.8" -dependencies = [ - "nvflare==2.5.2", - "omegaconf==2.3.0", - "rich==13.9.4", - "torch==2.5.1", - "torchvision==0.20.1", - "matplotlib==3.10.0", - "scipy==1.15.0", - "scikit-learn==1.6.1", -] - diff --git a/examples/advanced/distributed_optimization/requirements.txt b/examples/advanced/distributed_optimization/requirements.txt new file mode 100644 index 0000000000..47d6aba334 --- /dev/null +++ b/examples/advanced/distributed_optimization/requirements.txt @@ -0,0 +1,8 @@ +omegaconf==2.3.0 +rich==13.9.4 +torch==2.5.1 +torchvision==0.20.1 +matplotlib==3.10.0 +scipy==1.15.0 +scikit-learn==1.6.1 +networkx==3.4.2 \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/nvdo/__init__.py b/nvflare/app_opt/p2p/__init__.py similarity index 100% rename from examples/advanced/distributed_optimization/nvdo/__init__.py rename to nvflare/app_opt/p2p/__init__.py diff --git a/examples/advanced/distributed_optimization/nvdo/controllers/__init__.py b/nvflare/app_opt/p2p/controllers/__init__.py similarity index 91% rename from examples/advanced/distributed_optimization/nvdo/controllers/__init__.py rename to nvflare/app_opt/p2p/controllers/__init__.py index 948de939ad..9aefb0e937 100644 --- a/examples/advanced/distributed_optimization/nvdo/controllers/__init__.py +++ b/nvflare/app_opt/p2p/controllers/__init__.py @@ -11,4 +11,4 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -from .base import AlgorithmController # noqa \ No newline at end of file +from .p2p_controller import P2PAlgorithmController # noqa \ No newline at end of file diff --git a/examples/advanced/distributed_optimization/nvdo/controllers/base.py b/nvflare/app_opt/p2p/controllers/p2p_controller.py similarity index 96% rename from examples/advanced/distributed_optimization/nvdo/controllers/base.py rename to nvflare/app_opt/p2p/controllers/p2p_controller.py index 0327aa0749..50a49b5658 100644 --- a/examples/advanced/distributed_optimization/nvdo/controllers/base.py +++ b/nvflare/app_opt/p2p/controllers/p2p_controller.py @@ -16,12 +16,12 @@ from nvflare.apis.fl_context import FLContext from nvflare.apis.impl.controller import Controller from nvflare.apis.signal import Signal +from nvflare.app_opt.p2p.types import Config -from nvdo.types import Config - -class AlgorithmController(Controller): +class P2PAlgorithmController(Controller): """Controller for running a p2p algorithm on a network.""" + def __init__( self, config: Config, diff --git a/examples/advanced/distributed_optimization/nvdo/executors/__init__.py b/nvflare/app_opt/p2p/executors/__init__.py similarity index 82% rename from examples/advanced/distributed_optimization/nvdo/executors/__init__.py rename to nvflare/app_opt/p2p/executors/__init__.py index b3093390bb..1d1aca0bd0 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/__init__.py +++ b/nvflare/app_opt/p2p/executors/__init__.py @@ -11,8 +11,9 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -from .base import SynchronousAlgorithmExecutor # noqa +from .base_p2p_executor import BaseP2PAlgorithmExecutor # noqa +from .sync_executor import SyncAlgorithmExecutor # noqa from .consensus import ConsensusExecutor # noqa from .distributed_gradient_descent import DGDExecutor # noqa from .gradient_tracking import GTExecutor # noqa -from .gtadam import GTADAMExecutor # noqa \ No newline at end of file +from .gtadam import GTADAMExecutor # noqa diff --git a/nvflare/app_opt/p2p/executors/base_p2p_executor.py b/nvflare/app_opt/p2p/executors/base_p2p_executor.py new file mode 100644 index 0000000000..fa3262c203 --- /dev/null +++ b/nvflare/app_opt/p2p/executors/base_p2p_executor.py @@ -0,0 +1,102 @@ +# Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from abc import abstractmethod + +from nvflare.apis.dxo import from_shareable +from nvflare.apis.event_type import EventType +from nvflare.apis.executor import Executor +from nvflare.apis.fl_constant import ReturnCode +from nvflare.apis.fl_context import FLContext +from nvflare.apis.shareable import Shareable, make_reply +from nvflare.apis.signal import Signal +from nvflare.app_opt.p2p.types import LocalConfig, Neighbor + + +class BaseP2PAlgorithmExecutor(Executor): + """Base class for algorithm executors.""" + + def __init__(self): + super().__init__() + + self.id = None + self.client_name = None + self.config = None + self._weight = None + + self.neighbors: list[Neighbor] = [] + + def execute( + self, + task_name: str, + shareable: Shareable, + fl_ctx: FLContext, + abort_signal: Signal, + ): + if task_name == "config": + # Load local network config + self.config = LocalConfig(**from_shareable(shareable).data) + self.neighbors = self.config.neighbors + self._weight = 1.0 - sum([n.weight for n in self.neighbors]) + return make_reply(ReturnCode.OK) + + elif task_name == "run_algorithm": + # Run the algorithm + self._pre_algorithm_run(fl_ctx, shareable, abort_signal) + self.run_algorithm(fl_ctx, shareable, abort_signal) + self._post_algorithm_run(fl_ctx, shareable, abort_signal) + return make_reply(ReturnCode.OK) + else: + self.log_warning(fl_ctx, f"Unknown task name: {task_name}") + return make_reply(ReturnCode.TASK_UNKNOWN) + + @abstractmethod + def run_algorithm( + self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal + ): + """Executes the algorithm""" + pass + + def _pre_algorithm_run( + self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal + ): + """Executes before algorithm run.""" + pass + + def _post_algorithm_run( + self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal + ): + """Executes after algorithm run. Could be used, for example, to save results""" + pass + + @abstractmethod + def _exchange_values(self, fl_ctx: FLContext, value: any, iteration: int): + pass + + @abstractmethod + def _handle_neighbor_value( + self, topic: str, request: Shareable, fl_ctx: FLContext + ) -> Shareable: + pass + + def _to_message(self, x): + return x + + def _from_message(self, x): + return x + + def handle_event(self, event_type: str, fl_ctx: FLContext): + if event_type == EventType.START_RUN: + self.client_name = fl_ctx.get_identity_name() + self.id = int(self.client_name.split("-")[1]) diff --git a/examples/advanced/distributed_optimization/nvdo/executors/consensus.py b/nvflare/app_opt/p2p/executors/consensus.py similarity index 90% rename from examples/advanced/distributed_optimization/nvdo/executors/consensus.py rename to nvflare/app_opt/p2p/executors/consensus.py index 7d6cc7f220..b3f8936067 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/consensus.py +++ b/nvflare/app_opt/p2p/executors/consensus.py @@ -11,15 +11,15 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -import pickle import random -from nvflare.apis.dxo import from_shareable +import torch -from .base import SynchronousAlgorithmExecutor +from nvflare.apis.dxo import from_shareable +from nvflare.app_opt.p2p.executors.sync_executor import SyncAlgorithmExecutor -class ConsensusExecutor(SynchronousAlgorithmExecutor): +class ConsensusExecutor(SyncAlgorithmExecutor): """An executor that implements the consensus algorithm""" def __init__( @@ -58,4 +58,4 @@ def run_algorithm(self, fl_ctx, shareable, abort_signal): del self.neighbors_values[iteration] def _post_algorithm_run(self, *args, **kwargs): - pickle.dump(self.value_history, open("results.pkl", "wb")) + torch.save(torch.tensor(self.value_history), "value_sequence.pt") diff --git a/examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py b/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py similarity index 94% rename from examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py rename to nvflare/app_opt/p2p/executors/distributed_gradient_descent.py index c56f3712ca..d95490c22c 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/distributed_gradient_descent.py +++ b/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py @@ -11,16 +11,17 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -import torch -from nvflare.apis.dxo import from_shareable -from nvdo.utils.metrics import compute_loss_over_dataset import time - -from .base import SynchronousAlgorithmExecutor from abc import abstractmethod +import torch + +from nvflare.apis.dxo import from_shareable +from nvflare.app_opt.p2p.executors.sync_executor import SyncAlgorithmExecutor +from nvflare.app_opt.p2p.utils.metrics import compute_loss_over_dataset + -class DGDExecutor(SynchronousAlgorithmExecutor): +class DGDExecutor(SyncAlgorithmExecutor): @abstractmethod def __init__( self, @@ -106,13 +107,11 @@ def run_algorithm(self, fl_ctx, shareable, abort_signal): del self.neighbors_values[iteration] def _to_message(self, x): - return [ - param.cpu().numpy() for param in iter(x) if param.requires_grad - ] + return [param.cpu().numpy() for param in iter(x) if param.requires_grad] def _from_message(self, x): return [torch.from_numpy(param) for param in x] - + def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal): self._iterations = from_shareable(shareable).data["iterations"] self._stepsize = from_shareable(shareable).data["stepsize"] diff --git a/examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py b/nvflare/app_opt/p2p/executors/gradient_tracking.py similarity index 97% rename from examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py rename to nvflare/app_opt/p2p/executors/gradient_tracking.py index 473a5495c5..8867732a86 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/gradient_tracking.py +++ b/nvflare/app_opt/p2p/executors/gradient_tracking.py @@ -11,16 +11,17 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -import torch -from nvflare.apis.dxo import from_shareable -from nvdo.utils.metrics import compute_loss_over_dataset import time - -from .base import SynchronousAlgorithmExecutor from abc import abstractmethod +import torch + +from nvflare.apis.dxo import from_shareable +from nvflare.app_opt.p2p.executors.sync_executor import SyncAlgorithmExecutor +from nvflare.app_opt.p2p.utils.metrics import compute_loss_over_dataset + -class GTExecutor(SynchronousAlgorithmExecutor): +class GTExecutor(SyncAlgorithmExecutor): @abstractmethod def __init__( self, diff --git a/examples/advanced/distributed_optimization/nvdo/executors/gtadam.py b/nvflare/app_opt/p2p/executors/gtadam.py similarity index 96% rename from examples/advanced/distributed_optimization/nvdo/executors/gtadam.py rename to nvflare/app_opt/p2p/executors/gtadam.py index 3d8bdb63aa..d14900fba7 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/gtadam.py +++ b/nvflare/app_opt/p2p/executors/gtadam.py @@ -12,9 +12,9 @@ # See the License for the specific language governing permissions and # limitations under the License. import torch -from nvflare.apis.dxo import from_shareable -from .gradient_tracking import GTExecutor +from nvflare.apis.dxo import from_shareable +from nvflare.app_opt.p2p.executors.gradient_tracking import GTExecutor class GTADAMExecutor(GTExecutor): @@ -29,14 +29,13 @@ def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal): self.m = [torch.zeros_like(param) for param in self.model.parameters()] self.v = [torch.zeros_like(param) for param in self.model.parameters()] - def _update_local_state(self, stepsize): for i in range(len(self.tracker)): self.m[i] = self.beta1 * self.m[i] + (1 - self.beta1) * self.tracker[i] self.v[i] = torch.minimum( self.beta2 * self.v[i] + (1 - self.beta2) * self.tracker[i] ** 2, self.G ) - + with torch.no_grad(): for idx, param in enumerate(self.model.parameters()): if param.requires_grad: diff --git a/examples/advanced/distributed_optimization/nvdo/executors/base.py b/nvflare/app_opt/p2p/executors/sync_executor.py similarity index 58% rename from examples/advanced/distributed_optimization/nvdo/executors/base.py rename to nvflare/app_opt/p2p/executors/sync_executor.py index 7c75121e16..59b68bbf03 100644 --- a/examples/advanced/distributed_optimization/nvdo/executors/base.py +++ b/nvflare/app_opt/p2p/executors/sync_executor.py @@ -12,88 +12,17 @@ # See the License for the specific language governing permissions and # limitations under the License. import threading -from abc import abstractmethod from collections import defaultdict from nvflare.apis.dxo import DXO, DataKind, from_shareable from nvflare.apis.event_type import EventType -from nvflare.apis.executor import Executor from nvflare.apis.fl_constant import ReturnCode from nvflare.apis.fl_context import FLContext from nvflare.apis.shareable import Shareable, make_reply -from nvflare.apis.signal import Signal +from nvflare.app_opt.p2p.executors.base_p2p_executor import BaseP2PAlgorithmExecutor -from nvdo.types import LocalConfig, Neighbor - -class BaseAlgorithmExecutor(Executor): - """Base class for algorithm executors.""" - def __init__(self): - super().__init__() - - self.id = None - self.client_name = None - self.config = None - self._weight = None - - self.neighbors: list[Neighbor] = [] - - def execute( - self, - task_name: str, - shareable: Shareable, - fl_ctx: FLContext, - abort_signal: Signal, - ): - if task_name == "config": - # Load local network config - self.config = LocalConfig(**from_shareable(shareable).data) - self.neighbors = self.config.neighbors - self._weight = 1.0 - sum([n.weight for n in self.neighbors]) - return make_reply(ReturnCode.OK) - - elif task_name == "run_algorithm": - # Run the algorithm - self._pre_algorithm_run(fl_ctx, shareable, abort_signal) - self.run_algorithm(fl_ctx, shareable, abort_signal) - self._post_algorithm_run(fl_ctx, shareable, abort_signal) - return make_reply(ReturnCode.OK) - else: - self.log_warning(fl_ctx, f"Unknown task name: {task_name}") - return make_reply(ReturnCode.TASK_UNKNOWN) - - @abstractmethod - def run_algorithm( - self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal - ): - """Executes the algorithm""" - pass - - def _pre_algorithm_run( - self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal - ): - """Executes before algorithm run.""" - pass - - def _post_algorithm_run( - self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal - ): - """Executes after algorithm run. Could be used, for example, to save results""" - pass - - def _to_message(self, x): - return x - - def _from_message(self, x): - return x - - def handle_event(self, event_type: str, fl_ctx: FLContext): - if event_type == EventType.START_RUN: - self.client_name = fl_ctx.get_identity_name() - self.id = int(self.client_name.split("-")[1]) - - -class SynchronousAlgorithmExecutor(BaseAlgorithmExecutor): +class SyncAlgorithmExecutor(BaseP2PAlgorithmExecutor): """An executor to implement synchronous algorithms.""" def __init__(self): super().__init__() diff --git a/examples/advanced/distributed_optimization/nvdo/types/__init__.py b/nvflare/app_opt/p2p/types/__init__.py similarity index 100% rename from examples/advanced/distributed_optimization/nvdo/types/__init__.py rename to nvflare/app_opt/p2p/types/__init__.py diff --git a/examples/advanced/distributed_optimization/nvdo/utils/__init__.py b/nvflare/app_opt/p2p/utils/__init__.py similarity index 100% rename from examples/advanced/distributed_optimization/nvdo/utils/__init__.py rename to nvflare/app_opt/p2p/utils/__init__.py diff --git a/examples/advanced/distributed_optimization/nvdo/utils/config_generator.py b/nvflare/app_opt/p2p/utils/config_generator.py similarity index 93% rename from examples/advanced/distributed_optimization/nvdo/utils/config_generator.py rename to nvflare/app_opt/p2p/utils/config_generator.py index b39bf140cf..0106fc31ae 100644 --- a/examples/advanced/distributed_optimization/nvdo/utils/config_generator.py +++ b/nvflare/app_opt/p2p/utils/config_generator.py @@ -14,9 +14,8 @@ import networkx as nx import numpy as np -from nvdo.types import Neighbor, Node, Network - -from .topology import doubly_stochastic_adjacency +from nvflare.app_opt.p2p.types import Neighbor, Network, Node +from nvflare.app_opt.p2p.utils.topology import doubly_stochastic_adjacency def generate_random_network( diff --git a/examples/advanced/distributed_optimization/nvdo/utils/metrics.py b/nvflare/app_opt/p2p/utils/metrics.py similarity index 100% rename from examples/advanced/distributed_optimization/nvdo/utils/metrics.py rename to nvflare/app_opt/p2p/utils/metrics.py diff --git a/examples/advanced/distributed_optimization/nvdo/utils/topology.py b/nvflare/app_opt/p2p/utils/topology.py similarity index 100% rename from examples/advanced/distributed_optimization/nvdo/utils/topology.py rename to nvflare/app_opt/p2p/utils/topology.py From 6b92082bf134365f3cdb1a7b397ba98f569c39cd Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Fri, 31 Jan 2025 11:42:18 +0000 Subject: [PATCH 07/15] add docs --- .../app_opt/p2p/controllers/p2p_controller.py | 14 +++- .../p2p/executors/base_p2p_executor.py | 68 +++++++++++++++++-- nvflare/app_opt/p2p/executors/consensus.py | 20 +++++- .../executors/distributed_gradient_descent.py | 29 ++++++++ .../p2p/executors/gradient_tracking.py | 28 ++++++++ nvflare/app_opt/p2p/executors/gtadam.py | 29 ++++++++ .../app_opt/p2p/executors/sync_executor.py | 44 +++++++++++- nvflare/app_opt/p2p/types/__init__.py | 29 +++++++- 8 files changed, 247 insertions(+), 14 deletions(-) diff --git a/nvflare/app_opt/p2p/controllers/p2p_controller.py b/nvflare/app_opt/p2p/controllers/p2p_controller.py index 50a49b5658..bfbced41c1 100644 --- a/nvflare/app_opt/p2p/controllers/p2p_controller.py +++ b/nvflare/app_opt/p2p/controllers/p2p_controller.py @@ -20,7 +20,15 @@ class P2PAlgorithmController(Controller): - """Controller for running a p2p algorithm on a network.""" + """Controller for running a peer-to-peer (P2P) algorithm on a network. + + This controller manages the execution of a P2P algorithm by configuring + each client with its neighbors and initiating the algorithm execution across + the network. + + Args: + config (Config): The P2P network configuration containing node and neighbor information. + """ def __init__( self, @@ -59,7 +67,7 @@ def control_flow(self, abort_signal: Signal, fl_ctx: FLContext): ) def start_controller(self, fl_ctx: FLContext): - self.log_info(fl_ctx, "BaseController started") + self.log_info(fl_ctx, "P2PAlgorithmController started") def stop_controller(self, fl_ctx: FLContext): - self.log_info(fl_ctx, "BaseController stopped") + self.log_info(fl_ctx, "P2PAlgorithmController stopped") diff --git a/nvflare/app_opt/p2p/executors/base_p2p_executor.py b/nvflare/app_opt/p2p/executors/base_p2p_executor.py index fa3262c203..e21edb87a9 100644 --- a/nvflare/app_opt/p2p/executors/base_p2p_executor.py +++ b/nvflare/app_opt/p2p/executors/base_p2p_executor.py @@ -25,7 +25,19 @@ class BaseP2PAlgorithmExecutor(Executor): - """Base class for algorithm executors.""" + """Base class for peer-to-peer (P2P) algorithm executors. + + This class provides the foundational structure for executors that run P2P algorithms + in a distributed/federated setting. It handles the configuration of the local network, + execution flow based on tasks, and interaction with neighboring clients. + + Attributes: + id (int): Unique identifier for the client. + client_name (str): Name of the client. + config (LocalConfig): Local configuration containing neighbor information. + _weight (float): Weight assigned to the client in the network topology. + neighbors (list[Neighbor]): List of neighboring clients. + """ def __init__(self): super().__init__() @@ -65,35 +77,81 @@ def execute( def run_algorithm( self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal ): - """Executes the algorithm""" + """Abstract method to execute the main P2P algorithm. + + Subclasses must implement this method to define the algorithm logic. + """ pass def _pre_algorithm_run( self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal ): - """Executes before algorithm run.""" + """Hook method executed before running the main algorithm. + + Can be overridden to perform setup tasks. + """ pass def _post_algorithm_run( self, fl_ctx: FLContext, shareable: Shareable, abort_signal: Signal ): - """Executes after algorithm run. Could be used, for example, to save results""" + """Hook method executed after running the main algorithm. + + Can be overridden to perform cleanup tasks or save results. + """ pass @abstractmethod - def _exchange_values(self, fl_ctx: FLContext, value: any, iteration: int): + def _exchange_values(self, fl_ctx: FLContext, value: any, *args, **kwargs): + """Abstract method to handle value exchange with neighbors. + + Subclasses must implement this method to define how values are exchanged. + + Args: + fl_ctx (FLContext): Federated learning context. + value (any): The value to exchange. + + """ pass @abstractmethod def _handle_neighbor_value( self, topic: str, request: Shareable, fl_ctx: FLContext ) -> Shareable: + """Abstract method to process incoming values from neighbors. + + Subclasses must implement this method to handle incoming data. + + Args: + topic (str): Topic of the incoming message. + request (Shareable): The incoming data from a neighbor. + fl_ctx (FLContext): Federated learning context. + + Returns: + Shareable: A response message or data to send back. + """ pass def _to_message(self, x): + """Converts a value to a message format suitable for transmission. + + Args: + x (any): The value to convert. + + Returns: + any: The converted message. + """ return x def _from_message(self, x): + """Converts a received message back to its original value format. + + Args: + x (any): The received message. + + Returns: + any: The original value. + """ return x def handle_event(self, event_type: str, fl_ctx: FLContext): diff --git a/nvflare/app_opt/p2p/executors/consensus.py b/nvflare/app_opt/p2p/executors/consensus.py index b3f8936067..894f84afcc 100644 --- a/nvflare/app_opt/p2p/executors/consensus.py +++ b/nvflare/app_opt/p2p/executors/consensus.py @@ -20,7 +20,25 @@ class ConsensusExecutor(SyncAlgorithmExecutor): - """An executor that implements the consensus algorithm""" + """An executor that implements a consensus algorithm in a peer-to-peer (P2P) setup. + + This executor extends the SyncAlgorithmExecutor to implement a simple consensus algorithm. + The client starts with an initial value and iteratively exchanges values with its neighbors. + At each iteration, the client updates its current value based on its own value and the weighted sum + of its neighbors' values. The process continues for a specified number of iterations, and the history + of values is saved at the end of the run. + + The number of iterations must be provided by the controller when asing to run the algorithm. It can + be set in the extra parameters of the controller's config with the "iterations" key. + + Args: + initial_value (float, optional): The initial value for the consensus algorithm. + If not provided, a random value between 0 and 1 is used. + + Attributes: + current_value (float): The current value of the client in the consensus algorithm. + value_history (list[float]): A list storing the history of values over iterations. + """ def __init__( self, diff --git a/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py b/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py index d95490c22c..60b0cda466 100644 --- a/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py +++ b/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py @@ -22,6 +22,35 @@ class DGDExecutor(SyncAlgorithmExecutor): + """An executor that implements Stochastic Distributed Gradient Descent (DGD) in a peer-to-peer (P2P) learning setup. + + Each client maintains its own local model and synchronously exchanges model parameters with its neighbors + at each iteration. The model parameters are updated based on the neighbors' parameters and local gradient descent steps. + The executor also tracks and records training, validation and test losses over time. + + The number of iterations and the learning rate must be provided by the controller when asing to run the algorithm. + They can be set in the extra parameters of the controller's config with the "iterations" and "stepsize" keys. + + Note: + Subclasses must implement the __init__ method to initialize the model, loss function, and data loaders. + + Args: + model (torch.nn.Module, optional): The neural network model used for training. + loss (torch.nn.modules.loss._Loss, optional): The loss function used for training. + train_dataloader (torch.utils.data.DataLoader, optional): DataLoader for the training dataset. + test_dataloader (torch.utils.data.DataLoader, optional): DataLoader for the testing dataset. + val_dataloader (torch.utils.data.DataLoader, optional): DataLoader for the validation dataset. + + Attributes: + model (torch.nn.Module): The neural network model. + loss (torch.nn.modules.loss._Loss): The loss function. + train_dataloader (torch.utils.data.DataLoader): DataLoader for training data. + test_dataloader (torch.utils.data.DataLoader): DataLoader for testing data. + val_dataloader (torch.utils.data.DataLoader): DataLoader for validation data. + train_loss_sequence (list[tuple]): Records of training loss over time. + test_loss_sequence (list[tuple]): Records of testing loss over time. + """ + @abstractmethod def __init__( self, diff --git a/nvflare/app_opt/p2p/executors/gradient_tracking.py b/nvflare/app_opt/p2p/executors/gradient_tracking.py index 8867732a86..58061faa6d 100644 --- a/nvflare/app_opt/p2p/executors/gradient_tracking.py +++ b/nvflare/app_opt/p2p/executors/gradient_tracking.py @@ -22,6 +22,34 @@ class GTExecutor(SyncAlgorithmExecutor): + """An executor that implements Stochastic Gradient Tracking (GT) in a peer-to-peer (P2P) learning setup. + + Each client maintains its own local model and synchronously exchanges model parameters with its neighbors + at each iteration. The model parameters are updated based on the neighbors' parameters and local gradient descent steps. + The executor also tracks and records training, validation and test losses over time. + + The number of iterations and the learning rate must be provided by the controller when asing to run the algorithm. + They can be set in the extra parameters of the controller's config with the "iterations" and "stepsize" keys. + + Note: + Subclasses must implement the __init__ method to initialize the model, loss function, and data loaders. + + Args: + model (torch.nn.Module, optional): The neural network model used for training. + loss (torch.nn.modules.loss._Loss, optional): The loss function used for training. + train_dataloader (torch.utils.data.DataLoader, optional): DataLoader for the training dataset. + test_dataloader (torch.utils.data.DataLoader, optional): DataLoader for the testing dataset. + val_dataloader (torch.utils.data.DataLoader, optional): DataLoader for the validation dataset. + + Attributes: + model (torch.nn.Module): The neural network model. + loss (torch.nn.modules.loss._Loss): The loss function. + train_dataloader (torch.utils.data.DataLoader): DataLoader for training data. + test_dataloader (torch.utils.data.DataLoader): DataLoader for testing data. + val_dataloader (torch.utils.data.DataLoader): DataLoader for validation data. + train_loss_sequence (list[tuple]): Records of training loss over time. + test_loss_sequence (list[tuple]): Records of testing loss over time. + """ @abstractmethod def __init__( self, diff --git a/nvflare/app_opt/p2p/executors/gtadam.py b/nvflare/app_opt/p2p/executors/gtadam.py index d14900fba7..4383bf41a8 100644 --- a/nvflare/app_opt/p2p/executors/gtadam.py +++ b/nvflare/app_opt/p2p/executors/gtadam.py @@ -18,6 +18,35 @@ class GTADAMExecutor(GTExecutor): + """An executor that implements GTAdam in a peer-to-peer (P2P) learning setup. + + Each client maintains its own local model and synchronously exchanges model parameters with its neighbors + at each iteration. The model parameters are updated based on the neighbors' parameters and local gradient descent steps. + The executor also tracks and records training, validation and test losses over time. + + The number of iterations, the learning rate and the beta1, beta2 and epsilon hyperparameters must be provided + by the controller when asing to run the algorithm. They can be set in the extra parameters of the controller's + config with the "iterations", "stepsize", "beta1", "beta2", and "epsilon" keys. + + Note: + Subclasses must implement the __init__ method to initialize the model, loss function, and data loaders. + + Args: + model (torch.nn.Module, optional): The neural network model used for training. + loss (torch.nn.modules.loss._Loss, optional): The loss function used for training. + train_dataloader (torch.utils.data.DataLoader, optional): DataLoader for the training dataset. + test_dataloader (torch.utils.data.DataLoader, optional): DataLoader for the testing dataset. + val_dataloader (torch.utils.data.DataLoader, optional): DataLoader for the validation dataset. + + Attributes: + model (torch.nn.Module): The neural network model. + loss (torch.nn.modules.loss._Loss): The loss function. + train_dataloader (torch.utils.data.DataLoader): DataLoader for training data. + test_dataloader (torch.utils.data.DataLoader): DataLoader for testing data. + val_dataloader (torch.utils.data.DataLoader): DataLoader for validation data. + train_loss_sequence (list[tuple]): Records of training loss over time. + test_loss_sequence (list[tuple]): Records of testing loss over time. + """ def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal): super()._pre_algorithm_run(fl_ctx, shareable, abort_signal) diff --git a/nvflare/app_opt/p2p/executors/sync_executor.py b/nvflare/app_opt/p2p/executors/sync_executor.py index 59b68bbf03..72002b33f2 100644 --- a/nvflare/app_opt/p2p/executors/sync_executor.py +++ b/nvflare/app_opt/p2p/executors/sync_executor.py @@ -23,7 +23,18 @@ class SyncAlgorithmExecutor(BaseP2PAlgorithmExecutor): - """An executor to implement synchronous algorithms.""" + """An executor to implement synchronous peer-to-peer (P2P) algorithms. + + This executor extends the BaseP2PAlgorithmExecutor to support synchronous execution + of P2P algorithms. It manages the exchange of values with neighboring clients and ensures + synchronization at each iteration. + + Attributes: + neighbors_values (defaultdict): A dictionary to store values received from neighbors, + keyed by iteration and neighbor ID. + sync_waiter (threading.Event): An event to synchronize the exchange of values. + lock (threading.Lock): A lock to manage concurrent access to shared data structures. + """ def __init__(self): super().__init__() @@ -33,6 +44,20 @@ def __init__(self): self.lock = threading.Lock() def _exchange_values(self, fl_ctx: FLContext, value: any, iteration: int): + """Exchanges values with neighbors synchronously. + + Sends the local value to all neighbors and waits for their values for the current iteration. + Utilizes threading events to synchronize the exchange and ensure all values are received + before proceeding. + + Args: + fl_ctx (FLContext): Federated learning context. + value (any): The local value to send to neighbors. + iteration (int): The current iteration number of the algorithm. + + Raises: + SystemExit: If the values from all neighbors are not received within the timeout. + """ engine = fl_ctx.get_engine() # Clear the event before starting the exchange @@ -63,13 +88,27 @@ def _exchange_values(self, fl_ctx: FLContext, value: any, iteration: int): def _handle_neighbor_value( self, topic: str, request: Shareable, fl_ctx: FLContext ) -> Shareable: + """Handles incoming values from neighbors. + + Processes the received value from a neighbor, stores it, and signals when all neighbor + values for the current iteration have been received. + + Args: + topic (str): Topic of the incoming message. + request (Shareable): The message containing the neighbor's value. + fl_ctx (FLContext): Federated learning context. + + Returns: + Shareable: A reply message indicating successful reception. + """ sender = request.get_peer_props()["__identity_name__"] data = from_shareable(request).data iteration = data["iteration"] with self.lock: + # Store the received value in the neighbors_values dictionary self.neighbors_values[iteration][sender] = self._from_message(data["value"]) - # Check if all neighbor values have been received + # Check if all neighbor values have been received for the iteration if len(self.neighbors_values[iteration]) >= len(self.neighbors): self.sync_waiter.set() # Signal that we have all neighbor values return make_reply(ReturnCode.OK) @@ -79,6 +118,7 @@ def handle_event(self, event_type: str, fl_ctx: FLContext): if event_type == EventType.START_RUN: engine = fl_ctx.get_engine() + # Register the message handler for receiving neighbor values engine.register_aux_message_handler( topic="send_value", message_handle_func=self._handle_neighbor_value ) diff --git a/nvflare/app_opt/p2p/types/__init__.py b/nvflare/app_opt/p2p/types/__init__.py index bc26eecf8b..7f9815a171 100644 --- a/nvflare/app_opt/p2p/types/__init__.py +++ b/nvflare/app_opt/p2p/types/__init__.py @@ -16,7 +16,11 @@ @dataclass class Neighbor: - """Represents a neighbor in the network.""" + """Represents a neighbor in the network. + + Each neighbor is characterized by an identifier and an optional weight, + which can be used in algorithms that require weighted interactions between nodes. + """ id: int | str weight: float | None = None @@ -28,7 +32,12 @@ def __dict__(self): @dataclass class Node: - """Represents a node in the network.""" + """Represents a node in the network. + + A node contains an identifier and a list of its neighbors. + During initialization, any neighbor specified as a dictionary is converted + into a `Neighbor` instance to ensure consistent data structures. + """ id: int | str | None = None neighbors: list[Neighbor] = field(default_factory=list) @@ -52,7 +61,11 @@ def __post_init__(self): @dataclass class Network: - """Represents a network.""" + """Represents a network consisting of multiple nodes. + + The network defines the topology over which the peer-to-peer algorithm operates. + During initialization, any node specified as a dictionary is converted into a `Node` instance. + """ nodes: list[Node] = field(default_factory=list) @@ -72,6 +85,11 @@ def __post_init__(self): @dataclass class Config: + """Represents the configuration for the peer-to-peer algorithm. + + The configuration includes the network topology and any extra algorithm-specific parameters. + Algorithm-specific parameters in `extra` can include settings like 'stepsize', 'iterations', etc. + """ network: Network extra: dict = field(default_factory=dict) @@ -87,6 +105,11 @@ def __post_init__(self): @dataclass class LocalConfig: + """Represents the local configuration for a node in the network. + + The local configuration includes the node's neighbors and any extra algorithm-specific parameters. + Algorithm-specific parameters in `extra` can include settings like 'stepsize', 'iterations', etc. + """ neighbors: list[Neighbor] extra: dict = field(default_factory=dict) From bdfb3b83f7b2f8f309a890d3b8d957d17aa311ea Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Fri, 31 Jan 2025 11:55:18 +0000 Subject: [PATCH 08/15] abc algo executor --- nvflare/app_opt/p2p/executors/base_p2p_executor.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nvflare/app_opt/p2p/executors/base_p2p_executor.py b/nvflare/app_opt/p2p/executors/base_p2p_executor.py index e21edb87a9..6929ed675b 100644 --- a/nvflare/app_opt/p2p/executors/base_p2p_executor.py +++ b/nvflare/app_opt/p2p/executors/base_p2p_executor.py @@ -12,7 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. -from abc import abstractmethod +from abc import abstractmethod, ABC from nvflare.apis.dxo import from_shareable from nvflare.apis.event_type import EventType @@ -24,7 +24,7 @@ from nvflare.app_opt.p2p.types import LocalConfig, Neighbor -class BaseP2PAlgorithmExecutor(Executor): +class BaseP2PAlgorithmExecutor(Executor, ABC): """Base class for peer-to-peer (P2P) algorithm executors. This class provides the foundational structure for executors that run P2P algorithms From 72c55a9d4408bc59c88f0d3f1d7e7aafde527235 Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Fri, 31 Jan 2025 16:53:53 +0000 Subject: [PATCH 09/15] typo in example README --- examples/advanced/distributed_optimization/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/advanced/distributed_optimization/README.md b/examples/advanced/distributed_optimization/README.md index 0173b415aa..e74af83233 100644 --- a/examples/advanced/distributed_optimization/README.md +++ b/examples/advanced/distributed_optimization/README.md @@ -158,7 +158,7 @@ class P2PAlgorithmController(Controller): Now, in the `control_flow` method we can send the local configurations to each client and, once they receive them, ask them to run the algorithm. We'll do so by sending `Task`s to each client. In NVFlare, a `Task` is a piece of work that is assigned by the Controller to client workers. Depending on how the task is assigned (broadcast, send, or relay), the task will be performed by one or more clients. -In fact, one one hand, we'll use the `send_and_wait` method to send the `"config"` task to each client, since each client will potentially have a different config (because of different neighbors); on the other hand, to run the algorith, we'll use the `broadcast_and_wait`, which broadcasts the same `"run_algorithm"` task to all clients and waits for all clients to respond/complete the task. As you see, each task specifies a `name` - in this case, `"config"` and `"run_algorithm"` - let's remember those as they'll need to be the same in the control flow of each client. +In fact, on one hand, we'll use the `send_and_wait` method to send the `"config"` task to each client, since each client will potentially have a different config (because of different neighbors); on the other hand, to run the algorith, we'll use the `broadcast_and_wait`, which broadcasts the same `"run_algorithm"` task to all clients and waits for all clients to respond/complete the task. As you see, each task specifies a `name` - in this case, `"config"` and `"run_algorithm"` - let's remember those as they'll need to be the same in the control flow of each client. ```python From 9e401f09b275456d5816adb813dff6fc514b5ee3 Mon Sep 17 00:00:00 2001 From: Francesco Farina Date: Fri, 31 Jan 2025 19:25:55 +0000 Subject: [PATCH 10/15] reload notebook --- .../1-consensus/tutorial.ipynb | 976 +++++++++--------- 1 file changed, 484 insertions(+), 492 deletions(-) diff --git a/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb b/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb index e981f9ebd6..337562308e 100644 --- a/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb +++ b/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb @@ -68,31 +68,29 @@ "

Config(\n",
        "    network=Network(\n",
        "        nodes=[\n",
+       "            Node(id='site-1', neighbors=[Neighbor(id='site-4', weight=0.3333333432674408)]),\n",
        "            Node(\n",
-       "                id='site-1',\n",
+       "                id='site-2',\n",
        "                neighbors=[\n",
-       "                    Neighbor(id='site-2', weight=0.20000000298023224),\n",
-       "                    Neighbor(id='site-3', weight=0.20000000298023224),\n",
-       "                    Neighbor(id='site-4', weight=0.20000000298023224),\n",
-       "                    Neighbor(id='site-5', weight=0.20000000298023224)\n",
+       "                    Neighbor(id='site-3', weight=0.3333333432674408),\n",
+       "                    Neighbor(id='site-5', weight=0.3333333432674408)\n",
        "                ]\n",
        "            ),\n",
-       "            Node(id='site-2', neighbors=[Neighbor(id='site-1', weight=0.20000000298023224)]),\n",
+       "            Node(id='site-3', neighbors=[Neighbor(id='site-2', weight=0.3333333432674408)]),\n",
        "            Node(\n",
-       "                id='site-3',\n",
+       "                id='site-4',\n",
        "                neighbors=[\n",
-       "                    Neighbor(id='site-1', weight=0.20000000298023224),\n",
-       "                    Neighbor(id='site-4', weight=0.3333333432674408)\n",
+       "                    Neighbor(id='site-1', weight=0.3333333432674408),\n",
+       "                    Neighbor(id='site-5', weight=0.3333333432674408)\n",
        "                ]\n",
        "            ),\n",
        "            Node(\n",
-       "                id='site-4',\n",
+       "                id='site-5',\n",
        "                neighbors=[\n",
-       "                    Neighbor(id='site-1', weight=0.20000000298023224),\n",
-       "                    Neighbor(id='site-3', weight=0.3333333432674408)\n",
+       "                    Neighbor(id='site-2', weight=0.3333333432674408),\n",
+       "                    Neighbor(id='site-4', weight=0.3333333432674408)\n",
        "                ]\n",
-       "            ),\n",
-       "            Node(id='site-5', neighbors=[Neighbor(id='site-1', weight=0.20000000298023224)])\n",
+       "            )\n",
        "        ]\n",
        "    ),\n",
        "    extra={'iterations': 50}\n",
@@ -103,31 +101,29 @@
        "\u001b[1;35mConfig\u001b[0m\u001b[1m(\u001b[0m\n",
        "    \u001b[33mnetwork\u001b[0m=\u001b[1;35mNetwork\u001b[0m\u001b[1m(\u001b[0m\n",
        "        \u001b[33mnodes\u001b[0m=\u001b[1m[\u001b[0m\n",
+       "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n",
        "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n",
-       "                \u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m,\n",
+       "                \u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m,\n",
        "                \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
        "                \u001b[1m]\u001b[0m\n",
        "            \u001b[1m)\u001b[0m,\n",
-       "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n",
        "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n",
-       "                \u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m,\n",
+       "                \u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m,\n",
        "                \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
        "                \u001b[1m]\u001b[0m\n",
        "            \u001b[1m)\u001b[0m,\n",
        "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n",
-       "                \u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m,\n",
+       "                \u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m,\n",
        "                \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
        "                \u001b[1m]\u001b[0m\n",
-       "            \u001b[1m)\u001b[0m,\n",
-       "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.20000000298023224\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n",
+       "            \u001b[1m)\u001b[0m\n",
        "        \u001b[1m]\u001b[0m\n",
        "    \u001b[1m)\u001b[0m,\n",
        "    \u001b[33mextra\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'iterations'\u001b[0m: \u001b[1;36m50\u001b[0m\u001b[1m}\u001b[0m\n",
@@ -155,7 +151,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -185,468 +181,466 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[38m2025-01-31 10:43:21,315 - SimulatorRunner - INFO - Create the Simulator Server.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,316 - CoreCell - INFO - server: creating listener on tcp://0:57864\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,341 - CoreCell - INFO - server: created backbone external listener for tcp://0:57864\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,341 - ConnectorManager - INFO - 39829: Try start_listener Listener resources: {'secure': False, 'host': 'localhost'}\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,342 - conn_manager - INFO - Connector [CH00002 PASSIVE tcp://0:9312] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,843 - CoreCell - INFO - server: created backbone internal listener for tcp://localhost:9312\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,843 - conn_manager - INFO - Connector [CH00001 PASSIVE tcp://0:57864] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,844 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,844 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,844 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,844 - SimulatorServer - INFO - max_reg_duration=60.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,878 - hci - INFO - Starting Admin Server localhost on Port 57865\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,878 - SimulatorRunner - INFO - Deploy the Apps.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,907 - SimulatorRunner - INFO - Create the simulate clients.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,907 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,907 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,909 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,910 - ClientManager - INFO - authenticated client site-1: client_fqcn='site-1'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,910 - ClientManager - INFO - Client: New client site-1@10.2.184.71 joined. Sent token: 44efd389-a1d6-4587-8d9f-e6ff608aefd2.  Total clients: 1\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,910 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,910 - FederatedClient - INFO - Successfully registered client:site-1 for project simulator_server. Token:44efd389-a1d6-4587-8d9f-e6ff608aefd2 SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,910 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,910 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,911 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,911 - ClientManager - INFO - authenticated client site-2: client_fqcn='site-2'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,911 - ClientManager - INFO - Client: New client site-2@10.2.184.71 joined. Sent token: c1552959-386c-4025-9bb9-50232e032487.  Total clients: 2\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,911 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,911 - FederatedClient - INFO - Successfully registered client:site-2 for project simulator_server. Token:c1552959-386c-4025-9bb9-50232e032487 SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,911 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,912 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,912 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,912 - ClientManager - INFO - authenticated client site-3: client_fqcn='site-3'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,912 - ClientManager - INFO - Client: New client site-3@10.2.184.71 joined. Sent token: f70b92dc-edc7-43e3-a330-7f711dd59bdc.  Total clients: 3\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,912 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,912 - FederatedClient - INFO - Successfully registered client:site-3 for project simulator_server. Token:f70b92dc-edc7-43e3-a330-7f711dd59bdc SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,912 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,912 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - ClientManager - INFO - authenticated client site-4: client_fqcn='site-4'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - ClientManager - INFO - Client: New client site-4@10.2.184.71 joined. Sent token: e95e4133-deaa-40de-b3a7-ba37f0a2b361.  Total clients: 4\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - FederatedClient - INFO - Successfully registered client:site-4 for project simulator_server. Token:e95e4133-deaa-40de-b3a7-ba37f0a2b361 SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - ClientManager - INFO - authenticated client site-5: client_fqcn='site-5'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - ClientManager - INFO - Client: New client site-5@10.2.184.71 joined. Sent token: b6b4eb38-d385-47a8-8235-05210d2a1f77.  Total clients: 5\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,913 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,914 - FederatedClient - INFO - Successfully registered client:site-5 for project simulator_server. Token:b6b4eb38-d385-47a8-8235-05210d2a1f77 SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,914 - SimulatorRunner - INFO - Set the client status ready.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,914 - SimulatorRunner - INFO - Deploy and start the Server App.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,914 - Cell - INFO - Register blob CB for channel='server_command', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,914 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,914 - ServerCommandAgent - INFO - ServerCommandAgent cell register_request_cb: server.simulate_job\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic __sync_runner__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic __job_heartbeat__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic __task_check__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,922 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,923 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,923 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - Server runner starting ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,923 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,923 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - starting workflow controller () ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,923 - P2PAlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - BaseController started\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,923 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow controller () started\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:21,923 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:22,919 - SimulatorClientRunner - INFO - Start the clients run simulation.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:23,920 - SimulatorClientRunner - INFO - Simulate Run client: site-1 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:23,922 - SimulatorClientRunner - INFO - Simulate Run client: site-2 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:23,924 - SimulatorClientRunner - INFO - Simulate Run client: site-3 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:23,924 - SimulatorClientRunner - INFO - Simulate Run client: site-4 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:23,925 - SimulatorClientRunner - INFO - Simulate Run client: site-5 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,932 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,932 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,935 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,936 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,937 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-3.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-1.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-5.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-2.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - CoreCell - INFO - site-4.simulate_job: created backbone external connector to tcp://localhost:57864\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,971 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:57864] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57940 => 127.0.0.1:57864] is created: PID: 39848\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57941 => 127.0.0.1:57864] is created: PID: 39850\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57942 => 127.0.0.1:57864] is created: PID: 39846\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57943 => 127.0.0.1:57864] is created: PID: 39847\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00002 127.0.0.1:57944 => 127.0.0.1:57864] is created: PID: 39849\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,972 - conn_manager - INFO - Connection [CN00008 127.0.0.1:57864 <= 127.0.0.1:57940] is created: PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,973 - conn_manager - INFO - Connection [CN00009 127.0.0.1:57864 <= 127.0.0.1:57941] is created: PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,973 - conn_manager - INFO - Connection [CN00010 127.0.0.1:57864 <= 127.0.0.1:57942] is created: PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,973 - conn_manager - INFO - Connection [CN00011 127.0.0.1:57864 <= 127.0.0.1:57943] is created: PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:24,973 - conn_manager - INFO - Connection [CN00012 127.0.0.1:57864 <= 127.0.0.1:57944] is created: PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,072 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,076 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,076 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:25,792 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,308 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - synced to Server Runner in 0.5137271881103516 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,309 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,309 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,309 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,310 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,310 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,310 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,310 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-3\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,311 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - synced to Server Runner in 0.5162680149078369 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,311 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - synced to Server Runner in 0.5165047645568848 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,311 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,311 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - synced to Server Runner in 0.5163741111755371 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,311 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - synced to Server Runner in 0.5167350769042969 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,312 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,313 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,313 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-5\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,313 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-1\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,313 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,313 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,313 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-2\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,313 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,313 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,313 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-4\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,315 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - assigned task to client site-1: name=config, id=7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,316 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - sent task assignment to client. client_name:site-1 task_id:7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,316 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: config   task_id: 7bf65655-f007-4ea7-bec9-6f4988ec7d25  sharable_header_task_id: 7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,319 - Communicator - INFO - Received from simulator_server server. getTask: config size: 782B (782 Bytes) time: 0.005942 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,319 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,319 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,319 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,320 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,320 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,320 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,322 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,322 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,323 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=config, id=7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,323 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,324 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1   task_id:7bf65655-f007-4ea7-bec9-6f4988ec7d25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,324 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.001705 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,324 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=7bf65655-f007-4ea7-bec9-6f4988ec7d25] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,325 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,392 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,403 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,827 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - assigned task to client site-2: name=config, id=6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,827 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - sent task assignment to client. client_name:site-2 task_id:6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,828 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: config   task_id: 6c2ea1c7-7648-45ae-8a16-6c57016b9594  sharable_header_task_id: 6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,830 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.006084 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,830 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,830 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,831 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,831 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,831 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,831 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,834 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,834 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,835 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=config, id=6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,835 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,835 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2   task_id:6c2ea1c7-7648-45ae-8a16-6c57016b9594\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,836 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.001925 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,836 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6c2ea1c7-7648-45ae-8a16-6c57016b9594] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:26,837 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,007 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,017 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,329 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - assigned task to client site-3: name=config, id=de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,330 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - sent task assignment to client. client_name:site-3 task_id:de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,330 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: config   task_id: de1ca509-7941-4c92-ad93-1df7279cf95c  sharable_header_task_id: de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,331 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.003929 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,331 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,332 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,332 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,332 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,332 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,333 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,336 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,337 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,338 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=config, id=de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,338 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,338 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3   task_id:de1ca509-7941-4c92-ad93-1df7279cf95c\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,339 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.002095 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,339 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=de1ca509-7941-4c92-ad93-1df7279cf95c] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,339 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,414 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:27,424 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,347 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - assigned task to client site-4: name=config, id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,350 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - sent task assignment to client. client_name:site-4 task_id:cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,351 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: config   task_id: cff2ed3a-56d5-4676-b811-12f2cd1ebc4a  sharable_header_task_id: cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,354 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.012186 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,354 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,354 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,355 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,355 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,355 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,355 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,358 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,358 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,359 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=config, id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,360 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,360 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4   task_id:cff2ed3a-56d5-4676-b811-12f2cd1ebc4a\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,361 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.002285 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,361 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=cff2ed3a-56d5-4676-b811-12f2cd1ebc4a] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,361 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,457 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,662 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,856 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - assigned task to client site-5: name=config, id=61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,857 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - sent task assignment to client. client_name:site-5 task_id:61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,857 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: config   task_id: 61256033-1e00-4555-a8f7-ef7377d1e6f1  sharable_header_task_id: 61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,860 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.008032 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,861 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,861 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,862 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,863 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,863 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,863 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,867 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,867 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,869 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=config, id=61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,870 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,870 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5   task_id:61256033-1e00-4555-a8f7-ef7377d1e6f1\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,871 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.003672 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,871 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=61256033-1e00-4555-a8f7-ef7377d1e6f1] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:29,872 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:30,067 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:30,072 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task run_algorithm\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:30,369 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - assigned task to client site-3: name=run_algorithm, id=eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:30,369 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - sent task assignment to client. client_name:site-3 task_id:eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:30,370 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: run_algorithm   task_id: eda2b3b7-f158-424b-a6c0-86b769fe67be  sharable_header_task_id: eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:30,371 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.004151 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:30,371 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:30,372 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:30,372 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,355 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - assigned task to client site-1: name=run_algorithm, id=29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,356 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - sent task assignment to client. client_name:site-1 task_id:29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,357 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: run_algorithm   task_id: 29a5a623-1855-404a-922c-8548d2c1490d  sharable_header_task_id: 29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,360 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.007064 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,360 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,361 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,361 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,368 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - assigned task to client site-4: name=run_algorithm, id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,368 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - sent task assignment to client. client_name:site-4 task_id:6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,369 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: run_algorithm   task_id: 6dc738d8-d113-4c70-99c1-53f5ed2c8a25  sharable_header_task_id: 6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,369 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.004394 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,370 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,370 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,370 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,868 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - assigned task to client site-2: name=run_algorithm, id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,868 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - sent task assignment to client. client_name:site-2 task_id:f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,868 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: run_algorithm   task_id: f22cd8c0-9e9a-4532-b9c0-53b6c977e9da  sharable_header_task_id: f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,869 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.002690 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,870 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,870 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,870 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,877 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - assigned task to client site-5: name=run_algorithm, id=cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,878 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - sent task assignment to client. client_name:site-5 task_id:cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,878 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: run_algorithm   task_id: cd95cbc8-beec-4237-92a1-c27a203d8c90  sharable_header_task_id: cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,878 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.001726 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,879 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,879 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:31,879 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,052 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,052 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,052 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,052 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,053 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,054 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,054 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,054 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,054 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,055 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,055 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,055 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=run_algorithm, id=eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,056 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,056 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,056 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,056 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3   task_id:eda2b3b7-f158-424b-a6c0-86b769fe67be\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,056 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,056 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,056 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=run_algorithm, id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,057 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.002475 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,057 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=eda2b3b7-f158-424b-a6c0-86b769fe67be] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,057 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,057 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,057 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2   task_id:f22cd8c0-9e9a-4532-b9c0-53b6c977e9da\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,057 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=run_algorithm, id=cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,057 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=run_algorithm, id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,057 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=run_algorithm, id=29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003446 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5   task_id:cd95cbc8-beec-4237-92a1-c27a203d8c90\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=f22cd8c0-9e9a-4532-b9c0-53b6c977e9da] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4   task_id:6dc738d8-d113-4c70-99c1-53f5ed2c8a25\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003244 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=cd95cbc8-beec-4237-92a1-c27a203d8c90] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,058 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,059 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,059 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1   task_id:29a5a623-1855-404a-922c-8548d2c1490d\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,059 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003021 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,059 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=6dc738d8-d113-4c70-99c1-53f5ed2c8a25] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,059 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,059 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.002907 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,059 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=29a5a623-1855-404a-922c-8548d2c1490d] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,059 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,107 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task run_algorithm exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,107 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow: controller finalizing ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,108 - P2PAlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - BaseController stopped\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,108 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ReliableMessage - INFO - ReliableMessage is shutdown\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ObjectStreamer - INFO - Stream Runer is Shut Down\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Server runner finished.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:32,109 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:33,942 - SimulatorServer - INFO - Server app stopped.\n",
+      "\u001b[38m2025-01-31 19:25:08,949 - SimulatorRunner - INFO - Create the Simulator Server.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:08,950 - CoreCell - INFO - server: creating listener on tcp://0:50296\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,065 - CoreCell - INFO - server: created backbone external listener for tcp://0:50296\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,065 - ConnectorManager - INFO - 2282: Try start_listener Listener resources: {'secure': False, 'host': 'localhost'}\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,066 - conn_manager - INFO - Connector [CH00002 PASSIVE tcp://0:56944] is starting\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,571 - CoreCell - INFO - server: created backbone internal listener for tcp://localhost:56944\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,573 - conn_manager - INFO - Connector [CH00001 PASSIVE tcp://0:50296] is starting\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,575 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,575 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,576 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,577 - SimulatorServer - INFO - max_reg_duration=60.0\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,633 - hci - INFO - Starting Admin Server localhost on Port 50297\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,633 - SimulatorRunner - INFO - Deploy the Apps.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,667 - SimulatorRunner - INFO - Create the simulate clients.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,667 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,668 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,673 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,674 - ClientManager - INFO - authenticated client site-1: client_fqcn='site-1'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,674 - ClientManager - INFO - Client: New client site-1@192.168.0.251 joined. Sent token: aa94d95a-7ab7-4fd4-b5e7-c63bec545ad0.  Total clients: 1\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,674 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,674 - FederatedClient - INFO - Successfully registered client:site-1 for project simulator_server. Token:aa94d95a-7ab7-4fd4-b5e7-c63bec545ad0 SSID:\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,674 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,674 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,674 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,675 - ClientManager - INFO - authenticated client site-2: client_fqcn='site-2'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,675 - ClientManager - INFO - Client: New client site-2@192.168.0.251 joined. Sent token: 11cddf2b-425e-4fa3-8bab-54604d5740b1.  Total clients: 2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,675 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,675 - FederatedClient - INFO - Successfully registered client:site-2 for project simulator_server. Token:11cddf2b-425e-4fa3-8bab-54604d5740b1 SSID:\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,675 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,675 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,675 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,676 - ClientManager - INFO - authenticated client site-3: client_fqcn='site-3'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,676 - ClientManager - INFO - Client: New client site-3@192.168.0.251 joined. Sent token: 8c2cb4f1-d813-416e-b80f-cdb358d07eb2.  Total clients: 3\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,676 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,676 - FederatedClient - INFO - Successfully registered client:site-3 for project simulator_server. Token:8c2cb4f1-d813-416e-b80f-cdb358d07eb2 SSID:\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,676 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,676 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,676 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,677 - ClientManager - INFO - authenticated client site-4: client_fqcn='site-4'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,677 - ClientManager - INFO - Client: New client site-4@192.168.0.251 joined. Sent token: 299ee1b8-90a4-472c-8de2-f583a724ef83.  Total clients: 4\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,677 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,677 - FederatedClient - INFO - Successfully registered client:site-4 for project simulator_server. Token:299ee1b8-90a4-472c-8de2-f583a724ef83 SSID:\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,677 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,677 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,677 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,678 - ClientManager - INFO - authenticated client site-5: client_fqcn='site-5'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,678 - ClientManager - INFO - Client: New client site-5@192.168.0.251 joined. Sent token: f93d8156-d096-4b6f-b5a4-5685d65d9291.  Total clients: 5\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,678 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,678 - FederatedClient - INFO - Successfully registered client:site-5 for project simulator_server. Token:f93d8156-d096-4b6f-b5a4-5685d65d9291 SSID:\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,678 - SimulatorRunner - INFO - Set the client status ready.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,678 - SimulatorRunner - INFO - Deploy and start the Server App.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,678 - Cell - INFO - Register blob CB for channel='server_command', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,678 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,678 - ServerCommandAgent - INFO - ServerCommandAgent cell register_request_cb: server.simulate_job\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic __sync_runner__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic __job_heartbeat__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic __task_check__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,688 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,689 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - Server runner starting ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,689 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,689 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - starting workflow controller () ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,689 - P2PAlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - P2PAlgorithmController started\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,689 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow controller () started\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:09,689 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:10,684 - SimulatorClientRunner - INFO - Start the clients run simulation.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:11,686 - SimulatorClientRunner - INFO - Simulate Run client: site-1 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:11,687 - SimulatorClientRunner - INFO - Simulate Run client: site-2 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:11,688 - SimulatorClientRunner - INFO - Simulate Run client: site-3 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:11,689 - SimulatorClientRunner - INFO - Simulate Run client: site-4 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:11,691 - SimulatorClientRunner - INFO - Simulate Run client: site-5 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,725 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,726 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,726 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,728 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,728 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-5.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-4.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-2.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-3.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-1.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50323 => 127.0.0.1:50296] is created: PID: 2298\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50322 => 127.0.0.1:50296] is created: PID: 2294\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50326 => 127.0.0.1:50296] is created: PID: 2295\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50325 => 127.0.0.1:50296] is created: PID: 2296\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50324 => 127.0.0.1:50296] is created: PID: 2297\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00008 127.0.0.1:50296 <= 127.0.0.1:50323] is created: PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,794 - conn_manager - INFO - Connection [CN00009 127.0.0.1:50296 <= 127.0.0.1:50322] is created: PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,794 - conn_manager - INFO - Connection [CN00010 127.0.0.1:50296 <= 127.0.0.1:50326] is created: PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,794 - conn_manager - INFO - Connection [CN00011 127.0.0.1:50296 <= 127.0.0.1:50325] is created: PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,795 - conn_manager - INFO - Connection [CN00012 127.0.0.1:50296 <= 127.0.0.1:50324] is created: PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,896 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,898 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,898 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:12,898 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,639 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,639 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,639 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:13,641 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,157 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - synced to Server Runner in 0.513002872467041 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,157 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,157 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,157 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,158 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,158 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - synced to Server Runner in 0.5145540237426758 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,158 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,158 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,158 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,158 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-3\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,158 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,158 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,158 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - synced to Server Runner in 0.515538215637207 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - synced to Server Runner in 0.5153059959411621 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - synced to Server Runner in 0.5155537128448486 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-1\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,159 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,160 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,160 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,160 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,160 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-5\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,161 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,161 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,161 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-4\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,161 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - assigned task to client site-1: name=config, id=e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,162 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - sent task assignment to client. client_name:site-1 task_id:e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,163 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: config   task_id: e20ea295-ee1b-414e-a0ac-cf038aff2e98  sharable_header_task_id: e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,164 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.004675 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,164 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,165 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,165 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,165 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,165 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,166 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,168 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,168 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,169 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=config, id=e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,169 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,169 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1   task_id:e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,170 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.001849 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,170 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,170 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,170 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,373 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,671 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - assigned task to client site-2: name=config, id=6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,672 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - sent task assignment to client. client_name:site-2 task_id:6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,673 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: config   task_id: 6137abaa-7a6b-41fa-bf99-75691d0552d4  sharable_header_task_id: 6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,675 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.005403 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,675 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,676 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,676 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,676 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,676 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,677 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,679 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,680 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,680 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=config, id=6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,681 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,681 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2   task_id:6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,682 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.001925 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,682 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,682 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,780 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:14,780 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,173 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - assigned task to client site-3: name=config, id=8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,174 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - sent task assignment to client. client_name:site-3 task_id:8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,175 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: config   task_id: 8023ae42-9d50-4551-b941-996930fd80c2  sharable_header_task_id: 8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,177 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.008376 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,178 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,178 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,179 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,179 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,180 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,180 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,187 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,188 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,189 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=config, id=8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,189 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,190 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3   task_id:8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,191 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,191 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.002746 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,191 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,191 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:15,390 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,191 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - assigned task to client site-4: name=config, id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,191 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - sent task assignment to client. client_name:site-4 task_id:8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,191 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: config   task_id: 8ebcd861-20ac-49a2-8af1-59c6f1dc0408  sharable_header_task_id: 8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,192 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.002734 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,193 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,193 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,193 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,193 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,193 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,194 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,196 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,196 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,197 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=config, id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,197 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,198 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4   task_id:8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,199 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.002651 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,199 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,199 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,230 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,429 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,707 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - assigned task to client site-5: name=config, id=418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,709 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - sent task assignment to client. client_name:site-5 task_id:418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,710 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: config   task_id: 418f0f0d-8540-424d-a432-566d8a4c96bf  sharable_header_task_id: 418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,712 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.011580 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,712 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,712 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,713 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,714 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,714 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,714 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,719 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,719 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,721 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=config, id=418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,721 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,721 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5   task_id:418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,722 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.003091 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,722 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,723 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,838 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:17,840 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task run_algorithm\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:18,218 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - assigned task to client site-3: name=run_algorithm, id=c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:18,218 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - sent task assignment to client. client_name:site-3 task_id:c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:18,219 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: run_algorithm   task_id: c2a1cb67-6602-48b1-85bf-914887b44a05  sharable_header_task_id: c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:18,221 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.006713 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:18,221 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:18,221 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:18,222 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,204 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - assigned task to client site-4: name=run_algorithm, id=01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,205 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - sent task assignment to client. client_name:site-4 task_id:01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,205 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: run_algorithm   task_id: 01ff5afb-adc5-4814-93ff-60de220be502  sharable_header_task_id: 01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,206 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - assigned task to client site-1: name=run_algorithm, id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,206 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.003966 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,206 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - sent task assignment to client. client_name:site-1 task_id:d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,207 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: run_algorithm   task_id: d87f7a9d-bd7a-489a-8e9a-1084ba7e4937  sharable_header_task_id: d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,207 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,207 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,207 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,207 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.005148 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,208 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,208 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,208 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,717 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - assigned task to client site-2: name=run_algorithm, id=13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,718 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - sent task assignment to client. client_name:site-2 task_id:13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,718 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: run_algorithm   task_id: 13d25962-cc41-4d1f-b591-9712f8dad70d  sharable_header_task_id: 13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,719 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.002432 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,719 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,719 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,719 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,729 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - assigned task to client site-5: name=run_algorithm, id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,730 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - sent task assignment to client. client_name:site-5 task_id:07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,730 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: run_algorithm   task_id: 07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2  sharable_header_task_id: 07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,730 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.001971 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,731 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,731 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,731 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,859 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,859 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,859 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,859 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,861 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,861 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,861 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,861 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,861 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,862 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,862 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=run_algorithm, id=c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,862 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,862 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,862 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,862 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=run_algorithm, id=13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,863 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,863 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,863 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=run_algorithm, id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,863 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3   task_id:c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,863 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=run_algorithm, id=01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,864 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=run_algorithm, id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,864 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,864 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2   task_id:13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,864 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003372 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,864 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,864 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,864 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,864 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1   task_id:d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,864 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003169 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003251 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4   task_id:01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5   task_id:07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,865 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003074 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,866 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,866 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,866 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003156 seconds\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,866 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,866 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:19,888 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task run_algorithm exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,089 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow: controller finalizing ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,089 - P2PAlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - P2PAlgorithmController stopped\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,090 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,092 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,093 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,093 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,093 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,093 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,094 - ReliableMessage - INFO - ReliableMessage is shutdown\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,094 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,094 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,094 - ObjectStreamer - INFO - Stream Runer is Shut Down\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:20,094 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Server runner finished.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,706 - SimulatorServer - INFO - Server app stopped.\n",
       "\n",
       "\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:33,949 - ReliableMessage - INFO - shutdown reliable message monitor\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,067 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,068 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,070 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,070 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,071 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,072 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,072 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,072 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,073 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,073 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,073 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,073 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,074 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,074 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[33m2025-01-31 10:43:34,075 - Communicator - WARNING - Failed to get_task from simulator_server server. Will try it again.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,075 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,075 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,076 - FederatedClient - INFO - pull_task completed. Task name:None Status:False \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,076 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,076 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,077 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,077 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,077 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,077 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,077 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,078 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,078 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[33m2025-01-31 10:43:34,078 - Communicator - WARNING - Failed to get_task from simulator_server server. Will try it again.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,078 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,078 - FederatedClient - INFO - pull_task completed. Task name:None Status:False \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,078 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,079 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-3 \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,079 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-2 \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,079 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[33m2025-01-31 10:43:34,079 - Cell - WARNING - Receiving unknown req_id='a9ad8558-922d-4a2d-8b68-4c2d6e450e28', discarded: 'a9ad8558-922d-4a2d-8b68-4c2d6e450e28' headers: {'cn__return_code': 'ok', 'cn__req_id': '', 'cn__msg_type': 'req', 'sm__ri': 'a9ad8558-922d-4a2d-8b68-4c2d6e450e28', 'sm__pe': 'fobs', 'cn__payload_len': 459, 'sm__ch': 'return_only', 'sm__tp': 'server_command:get_task', 'sm__sz': 459, 'sm__id': 1738360030169108, 'sm__dt': 2, 'sm__sq': 0, 'sm__os': 0, 'sm__op': True, 'cn__reply_expected': False, 'cn__optional': True, 'cn__secure': False, 'cn__topic': 'sm__DATA', 'cn__channel': 'sm__STREAM', 'cn__destination': 'site-5.simulate_job', 'cn__from': 'server', 'cn__to': 'site-5.simulate_job', 'cn__origin': 'server.simulate_job', 'cn__route': [['server.simulate_job', 1738320214.076976], ['server', 1738320214.0770261], ('site-5.simulate_job', 1738320214.0791261)], 'cn__send_time': 1738320214.077028}\u001b[0m\n",
-      "\u001b[33m2025-01-31 10:43:34,079 - Cell - WARNING - Receiving unknown req_id='9e1feaab-50af-4e97-a33e-ae25ae7c7878', discarded: '9e1feaab-50af-4e97-a33e-ae25ae7c7878' headers: {'cn__return_code': 'ok', 'cn__req_id': '', 'cn__msg_type': 'req', 'sm__ri': '9e1feaab-50af-4e97-a33e-ae25ae7c7878', 'sm__pe': 'fobs', 'cn__payload_len': 459, 'sm__ch': 'return_only', 'sm__tp': 'server_command:get_task', 'sm__sz': 459, 'sm__id': 1738360030169109, 'sm__dt': 2, 'sm__sq': 0, 'sm__os': 0, 'sm__op': True, 'cn__reply_expected': False, 'cn__optional': True, 'cn__secure': False, 'cn__topic': 'sm__DATA', 'cn__channel': 'sm__STREAM', 'cn__destination': 'site-2.simulate_job', 'cn__from': 'server', 'cn__to': 'site-2.simulate_job', 'cn__origin': 'server.simulate_job', 'cn__route': [['server.simulate_job', 1738320214.078249], ['server', 1738320214.078298], ('site-2.simulate_job', 1738320214.0791411)], 'cn__send_time': 1738320214.0783}\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,079 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,080 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,080 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-1 \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,080 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,080 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39848\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,081 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,081 - conn_manager - INFO - Connection [CN00008 Not Connected] is closed PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,081 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-4 \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,081 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39847\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,081 - conn_manager - INFO - Connection [CN00011 Not Connected] is closed PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,081 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-5 \u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,082 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39846\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,082 - conn_manager - INFO - Connection [CN00010 Not Connected] is closed PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,083 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39849\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,083 - conn_manager - INFO - Connection [CN00012 Not Connected] is closed PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,083 - FederatedClient - INFO - Shutting down client run: site-1\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,084 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 39850\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,084 - conn_manager - INFO - Connection [CN00009 Not Connected] is closed PID: 39829\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,084 - FederatedClient - INFO - Shutting down client run: site-2\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,084 - FederatedClient - INFO - Shutting down client run: site-3\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,085 - FederatedClient - INFO - Shutting down client run: site-4\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,085 - FederatedClient - INFO - Shutting down client run: site-5\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,085 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - asked to abort - triggered abort_signal to stop the RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,400 - hci - INFO - Admin Server localhost on Port 57865 shutdown!\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,400 - SimulatorServer - INFO - shutting down server\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,400 - SimulatorServer - INFO - canceling sync locks\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:34,400 - SimulatorServer - INFO - server off\u001b[0m\n",
-      "\u001b[38m2025-01-31 10:43:37,873 - MPM - INFO - MPM: Good Bye!\u001b[0m\n"
+      "\u001b[38m2025-01-31 19:25:21,727 - ReliableMessage - INFO - shutdown reliable message monitor\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,868 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,868 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,869 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,869 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,869 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,869 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,869 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,869 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,869 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,870 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,870 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,870 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,870 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,870 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,870 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,870 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,870 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-5 \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,870 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,871 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,871 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,871 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,871 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,871 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-3 \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,871 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2298\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - conn_manager - INFO - Connection [CN00008 Not Connected] is closed PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-1 \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,872 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2296\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,873 - conn_manager - INFO - Connection [CN00011 Not Connected] is closed PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,873 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,873 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,873 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,873 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2294\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - conn_manager - INFO - Connection [CN00009 Not Connected] is closed PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-2 \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,874 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,875 - conn_manager - INFO - Connection [CN00010 Not Connected] is closed PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,875 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2295\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,875 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,876 - FederatedClient - INFO - Shutting down client run: site-1\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,876 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-4 \u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,876 - FederatedClient - INFO - Shutting down client run: site-2\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,876 - FederatedClient - INFO - Shutting down client run: site-3\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,876 - FederatedClient - INFO - Shutting down client run: site-4\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,877 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2297\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,877 - conn_manager - INFO - Connection [CN00012 Not Connected] is closed PID: 2282\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,877 - FederatedClient - INFO - Shutting down client run: site-5\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:21,877 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - asked to abort - triggered abort_signal to stop the RUN\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:22,159 - hci - INFO - Admin Server localhost on Port 50297 shutdown!\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:22,160 - SimulatorServer - INFO - shutting down server\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:22,161 - SimulatorServer - INFO - canceling sync locks\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:22,161 - SimulatorServer - INFO - server off\u001b[0m\n",
+      "\u001b[38m2025-01-31 19:25:25,607 - MPM - INFO - MPM: Good Bye!\u001b[0m\n"
      ]
     }
    ],
@@ -665,27 +659,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/82/970ljrw529v0chx2svm8gwwr0000gp/T/ipykernel_39797/4202699194.py:6: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
-      "  f\"site-{i+1}\": torch.load(f\"tmp/runs/consensus/site-{i+1}/value_sequence.pt\") for i in range(num_clients)\n",
-      "/Users/ffarina/Documents/code/NVFlare/nvflare/app_opt/p2p/utils/topology.py:37: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/Copy.cpp:308.)\n",
-      "  idx = eigenvalues.float().argsort(descending=True)\n"
+      "/var/folders/82/970ljrw529v0chx2svm8gwwr0000gp/T/ipykernel_2247/4202699194.py:6: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
+      "  f\"site-{i+1}\": torch.load(f\"tmp/runs/consensus/site-{i+1}/value_sequence.pt\") for i in range(num_clients)\n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
Consensus value: 0.47792279720306396\n",
+       "
Consensus value: 0.5452268123626709\n",
        "
\n"
       ],
       "text/plain": [
-       "Consensus value: \u001b[1;36m0.47792279720306396\u001b[0m\n"
+       "Consensus value: \u001b[1;36m0.5452268123626709\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -714,12 +706,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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hf/75J9q1a4epU6eqfYmJiTh9+jR69eqF2267DS+99BLy8vLw8MMPY+jQoVixYkWVvD7yvaAORiLNkeoy28JghIioKkgwImvpDB48GA0bNlT7pJfE05CNVJWVgm5JSUnO/bNnz8aFF16IZ555xrlv3rx5qvibBC8tWrTw0SuhqhTcwYjJHoxkFmb6+1CIiCoszGRQvRT+eN7y6tChA3r37q0CkH79+qmk0iFDhiAuLq5c99+6dStWrlyphmhK2rNnDzZs2IA77rjDuW/x4sXo0aNHuY+PAkNQByMcpiGi6kzyKso7XOIvspbOsmXL8PPPP2Pp0qWYNWsWHnvsMaxbt65c98/Ozsa1117rMRFVFmeTEvndunVz7ktJSanU4yffCOx3sa+CEQ7TEBFVadB06aWXqk2SSmW4ZtGiRWe1k2Eaq9Xqtq9Tp0749NNP0ahRI7VUvSdRUfa/5VR9BfVsGscwTVZhlr8PhYioRpIeEMn32LhxIw4cOKDqf8gqr61btz6rrQQc0l5m0chsGen1GDduHE6ePKmSYGVIRoZmvvvuO4wZM+aswMWV3Edqi2zfvl3d3rVrl7p97NixKn29dG6COhhx9IwwGCEiqhrR0dFYvXo1+vfvr5JNH3/8cbz44otqqm5JEydOVMM6bdq0UTNpJHhJTk7GmjVrVOAh+SaSeyKF0aQ+SWkLtH355Zcq8XXAgAHq9vDhw9XtuXPnVunrpXOj0yo6YdwPMjMzVaZ1RkaGemNXlpUHVuK+lfehXXw7fPSPjyrtcYmIKlt+fj727t2Lxo0bn/My7US+fm+W9/M7qHtGOLWXiIjI/4I6GIk226M0DtMQERFVs2Bkzpw5KtFIumNkStX69etLbT9z5ky0bNlSlQKWQjUPPPCA6tYJlJ4RBiNERETVKBhZuHAhJkyYgClTpmDz5s2qoI0UsklNTfXY/sMPP8Qjjzyi2u/YsQNvvfWWeoxHH30UgTKbptBWiEJrob8Ph4iIKChVOBiZMWMGxo4dq6ZVScazZCZL+V4pz+uJFLqRueU33nij6k2RbGiZolVWb4ovgxHB3hEiIqJqEIwUFhZi06ZNbqsgytQqub127VqP97nkkkvUfRzBx99//41vv/1WTfPypqCgQGXgum5VwaA3IMIUoa4ziZWIiKgaVGCVIjQy11uWcHYlt3fu3OnxPtIjIve77LLL1CqNsmDSnXfeWeowzbRp0/Dkk0/CV70jOZYcloQnIiKqqbNpVq1aparvvfLKKyrHRKrvffPNN3jqqae83mfSpElqTrJjO3jwYJUXPuNieURERNWgZyQhIUFVxzt+/LjbfrntuuSzq3//+98YOXIkbrvtNnVbqufl5OTg9ttvV4sleaqgFxISojZf5o1wmIaIiKga9IzIIkadO3fG8uXLnftk7QC53b17d4/3yc3NPSvgkIBGBELxV67cS0TkH7fccgsGDhzo78Og6jhMI9N633jjDbzzzjtqqu5dd92lejpkdo0YNWqUGmZxkKWfX331VSxYsECVi5WlpKW3RPY7ghJ/Yq0RIiL/ePnllzF//nzn7SuuuEKtO3O+LBYLHn74YdUTHxERoda3kc+mI0eOnPdjUwAM04hhw4apFRdlGWhZ/bBjx45YsmSJM6lVFjZy7QmRRZFk+Wi5PHz4sFr8SAKRp59+GoEgylS8WJ6FwQgRkS/JmiVVQXrkJUdRvvhKLaxTp05h/PjxuO6669TqwRR4gnqhPPHSppcw7/d5uLn1zXi468OV+thERFW6GJn8+bbk+v5gTOGATlfu5p988omaIbl7925Vl0pWz/3iiy8wbtw4nD59Gp9//rkaspEed1fyeqU+1e+//46HHnoIP/74o+rpkHpVL730kspjLK8NGzaga9eu2L9/Pxo0aFChl0tVv1BehXtGahpHzgiHaYio2pFA5Jlk3z/vo0cAs71GU1mOHj2qCl1Onz4dgwYNQlZWlgoqSn4PliGbP//8E+3atcPUqVPVPulJl2ClV69eahKEBCB5eXlqCGbo0KFYsWJFuQ9ZPgyllz42NraCL5Z8gcFI8TANZ9MQEVU+CUakvtTgwYPRsGFDtU9yOUqSb88ySUJ6TlxnZ86ePVv1pEiJCAep+C3rnEnw0qJFi3J9c5cARoKiyu5dp8oR9MEIE1iJqNqS4RLppfDH85aT5Gz07t1bBSCyjpkMsQwZMgRxcXHluv/WrVuxcuVKREaeWb7DYc+ePWr45Y477nDuW7x4MXr06OGWzCq9KNITI5MpKDAFfTDCYRoiqrYkb6OcwyX+IrMmZRalrFO2dOlSzJo1S9WYWrduXbnun52drSY9PPfcc2f9rG7duqq8hKwe75CSknJWICJ5IjKkw16RwBX0wQiLnhERVS3J1ZAFU2WTmZgyXLNo0aKz2skwjSw54qpTp0749NNPVSKr0ej5Iysqyv6l0pUjEPnrr79Uz0p8fHwlviKqduXgAx2LnhERVR3pAZF8D5lSK6UfZEkQKQ/RunXrs9pKwCHt9+3bp9Y0k14PmXFz8uRJle8hQzIyNPPdd9+p2lYlAxfXQESGguQ5P/jgA9VOSlHIJgu+UuBhMOIYprFkBURFWCKimkSGRlavXq1WapdkU6k59eKLL+Kaa645q+3EiRPVsE6bNm3UTBoJXqRg2Zo1a1RAIfkmknsihdFkVoyn5USE1LT68ssvcejQIVULS4ZzHJsMF1HgCfo6I9Ij0v0jeyn79TetR5gxrFIfn4ioqms5EFX3OiNB3zMSbgqHDvbiPRyqISIi8r2gD0b0Ov2Z6b0sCU9ERORzQR+MuBU+Y88IERGRzwX31N4/lwKp2xFpsI9xsdYIERGR7wV3MLJiKnBsGyLb91Q3OUxDRETke8E9TBPfTF1E2+xz1TlMQ0RE5HsMRqQKq6VAXTIYISIi8r0gD0aaq4vIghx1mVmY6ecDIiIiCj5BHozYe0aicjPUJdenISIi8r0gD0aaqIuoAnuPCIdpiIh855ZbbsHAgQP9fRgUAII7GAmLA8ITEGmzqZucTUNE5Dsvv/wy5s+f77x9xRVXqHVnKsMTTzyBVq1aISIiAnFxcejTp49ahI8CU3AHIyKhOaJs9uV52DNCROQ7smaJLHhXFWRRvtmzZ2Pbtm346aef1IrAstCerBhMgYfBSHzTMz0jLHpGRNWIrHOaa8n1+VbR9VU/+eQTtdpuWFgY4uPjVS9FTk6O2zCNXP/hhx9Ub4lOp1Pbvn371M9+//13tcpvZGQk6tSpg5EjRyI9Pb3U57zxxhvV8zRp0gRt27bFjBkz1KJtv/3223mccaoqwV30TMQ3cwYjTGAlouokrygP3T7s5vPnXXfjOrXIaHkcPXoUI0aMwPTp0zFo0CBkZWXhxx9/PCugkSDkzz//RLt27TB16lS1LzExEadPn0avXr1w22234aWXXkJeXh4efvhhDB06FCtWrCjXMRQWFuL1119XPTEdOnQ4h1dMVY3BSHwzRLNnhIioSkgwUlRUhMGDB6Nhw4Zqn/SSlCSBgtlsRnh4OJKSkpz7ZajlwgsvxDPPPOPcN2/ePNSvX18FLzIc483XX3+N4cOHIzc3F3Xr1sWyZcuQkJBQ6a+Rzh+DkfjmiHTkjFiyVbQu3YNERIEuzBimein88bzlJT0RvXv3VgFIv379VN7GkCFDVFJpeWzduhUrV65UQzQl7dmzBxs2bMAdd9zh3Ld48WL06NFDXb/yyiuxZcsWNaTzxhtvqN4USWKtXbt2uY+ffIPBSK3GzmDEptmQW5SLCFOEv4+KiKhM8sWpvMMl/mIwGFSPxM8//4ylS5di1qxZeOyxx8o9syU7OxvXXnstnnvuubN+Jr0dNpsN3bqdGapKSUlxXpeZNM2aNVPbxRdfjObNm+Ott97CpEmTKunVUWVhMGIMQVhMPRg0DVadTg3VMBghIqrcoOnSSy9V2+TJk9VwzaJFi85qJ8M0Vqt9rTCHTp064dNPP1WzYYxGzx9ZUVFR5ToOCVwKCuzLf1Bg4Wwa+Y8SL9N7i5NYOb2XiKjSSA+I5Hts3LgRBw4cwGeffaam17Zu3fqsthJwSHuZRSNDKxI8jBs3DidPnlRJsDIkI0Mz3333HcaMGXNW4OIgM3UeffRR/PLLL9i/fz82bdqEf/3rXzh8+DBuuOEGH7xqqigGIyJB8kY4o4aIqLJFR0dj9erV6N+/v0o2ffzxx/Hiiy+qqbolTZw4UQ3rtGnTRs2kkeAlOTkZa9asUYGH5JtI7okURpP6JHq9548weYydO3fi+uuvV88pwzwnTpxQs3hkmi8FHg7TiPhmiDpozxvhYnlERJVHekCWLFni8Weu1VeFBA5r1649q53kekiPSnmFhoZWqD35H3tGShQ+4zANERFRNQhG5syZo8b2JPqULOb169d7bStrDTiq6bluAwYMQED1jDiCkQL7Cr5EREQUoMHIwoULMWHCBEyZMgWbN29Wc8hl7nhqaqrH9tJVJkVvHJuU9ZXxvIBKIoquh0jYa4tkZR7y99EQEREFlQoHI1Lff+zYsSqTWZKM5s6dqyrmSUU8T2rVqqWq6Tk2mW8u7QMqGNHrEWWOVlezsw77+2iIiIiCSoWCEanvL1OkZPEh5wPo9eq2p6QjT6TgjJTnlWI03sg8cFnQyHWrapGhtdRlVvaxKn8uIiIiOsdgROZ9y/QqWTXRldw+dqzsD3HJLZFhGlnwqDTTpk1T6xQ4NlmDoKpFRdhfU1beiSp/LiIiIvLTbBrpFZE54l27di21nZTqzcjIcG4HDx6s8mOLiraXEM4uZAIrERFRwNYZkdUOJfn0+PHjbvvltusqi94q4i1YsMC5NHRpQkJC1OZLkbGNgENS9CzXp89LREQU7CrUMyLrBnTu3BnLly937pNyvXK7e/fupd73448/VrkgN998MwJRZK2m6jJTswCFOf4+HCIioqBR4WEamdYrSzG/88472LFjB+666y7V6yGza8SoUaM8rogoQzQDBw5EfHw8AlFUZLK6zJbywif/9vfhEBHVeLfccov6XCCqcDAybNgwvPDCC2rlxY4dO2LLli2q1K8jqVXWEpB6Iq527dqFn376CbfeeisCVZQ56kwwkv6Xvw+HiKjGe/nll91KwkuRTFl3prLdeeedqtjmzJkzK/2xyY9r09xzzz1q82TVqlVn7WvZsiU0zb72S6CKNEeqyxydDrb03ayTT0RUxWS2ZFVbtGiRWr1XFtyjwMXP3BI9I5pOh+wTu/x9OEREZZIvebbcXJ9vFf1y+cknn6iZlGFhYWqoXmpTyfC+6zCNXP/hhx9Ub4lj2ZB9+/apn0lJCFnlNzIyUvXCjxw5UpWaKMvhw4dx77334oMPPoDJZDrHs0y+wFV7i4UYQmDSGWDRrMg+uQf2eqxERIFLy8vDrk6dff68LTdvgi48vFxtZdh+xIgRmD59OgYNGoSsrCz8+OOPZwU0EoT8+eefaNeunXPWZWJiIk6fPo1evXqp+lQvvfQS8vLy8PDDD2Po0KFYsWKF1+eVyRUStDz00ENo27bteb5iqmoMRlxEmSJwsjATWRn75CsHoLOvV0NEROdGgpGioiIMHjwYDRs2VPukl8TTkI3M2JTlQlxLRcyePRsXXnghnnnmGec+WX5EimFK8NKiRQuPz/vcc8/BaDTivvvuq5LXRZWLwYiLqJAYFYyoWiO5J4CIBH8fEhGRV7qwMNVL4Y/nLS9ZTLV3794qAJFFVfv27YshQ4YgLi6uXPffunUrVq5cqYZoStqzZw82bNiAO+64w7lv8eLFKqCRnhZZzFWGeyjwMRhxEelYLE+vA07sZjBCRAFN5VaUc7jEX6RQpiyQ+vPPP2Pp0qWYNWsWHnvsMaxbt65c98/Ozsa1116rejpKqlu3rhqO6datm3NfSkoKXnvtNbWSfIMGDZz7ZSmTBx98UM2oceSiUOBgMOJhRk2mTO+VYKTBxf4+JCKiGhE0XXrppWqTshAyXCOzXEqSYRoJGlx16tQJn376KRo1aqSGXTyJirJPQHCQXBHXBV2F9MrIfkdNLAosnE3jItrZM1IcjBAR0XmRHhDJ99i4caOqQ/XZZ58hLS0NrVu3PqutBBzSXnouZLaM9HqMGzcOJ0+eVEmwMiQjQzPfffedCipKBi4OMmNHEmFdN5lNI7koUmqCAg+DEReRJnvPCAufERFVjujoaKxevRr9+/dXyaaPP/44XnzxRTVVt6SJEyeqYZ02bdqomTQSvEh9kDVr1qjAQ/JNJPdECqPFxsZCL3+rqUbgMI2HYZos1TOyx9+HQ0RU7UkPiFTp9sS1+qqQYGXt2rVntWvevLnqUTkfzBMJbAwrXUSZ7OOOWZLAKuvT2Dx3ARIREVHlYTDiaX0agxGwFgAZh/x9SERERDUegxFPwzQhEfYdJ5g3QkREVNUYjHgYpsk2hdp3MG+EiIioyjEY8dQzYjDYd3B6LxERUZVjMOIhGMlG8QJODEaIiIiqHIMRF9Eme9GzLJvFviOdwQgREVFVYzDioWckz1aAIrmScRCw5Pn7sIiIiGo0BiMeghGRExoLyHDNyb1+PSYiIqKajsGIC5PehFCDfSZNZq2G9p3MGyEiqhK33HILBg4c6O/DoADAYMRb4bPYevYdrDVCRFQlXn75ZbeS8FdccYVad6ayAh1ZLdh1u/rqqyvlsanycW0aD0M1aXlpyI5Osu9grREioioRExNTpY8vwcfbb7/tvB0SElKlz0fnjj0j3taniYy37+AwDREFKE3TYCmw+nyT562ITz75RK22GxYWhvj4ePTp0wc5OTluwzRy/YcfflC9JY6eDMfidr///rta5TcyMhJ16tTByJEjkZ6eXubzSvCRlJTk3OLi4s7xTFNVY8+It8JnofZpvgxGiChQFRXa8Pr4H3z+vLe/3BOmkOLikGU4evQoRowYgenTp2PQoEHIysrCjz/+eFZAI0HIn3/+iXbt2mHq1KlqX2JiIk6fPo1evXrhtttuw0svvYS8vDw8/PDDGDp0KFasWFHqc69atQq1a9dWQYg8xn/+8x8VDFHgYTDiLWfEsT5N7gkg9yQQXsu/B0ZEVA1JMFJUVITBgwejYUP7xADpJfE0ZGM2mxEeHq56MRxmz56NCy+8EM8884xz37x581C/fn0VvLRo0cLrEI08Z+PGjbFnzx48+uijqndl7dq1MDiqbFPAYDBSQqSpuGfEVghEJQNZR+x5IwxGiCjAGM161Uvhj+ctrw4dOqB3794qAOnXrx/69u2LIUOGlHvIZOvWrVi5cqUaoilJgowNGzbgjjvucO5bvHgxevTogeHDhzv3yXO3b98eTZs2Vb0lcjwUWBiMeOsZKcwG4psWByO7gfoX+fvQiIjcSF5FeYdL/EV6IZYtW4aff/4ZS5cuxaxZs/DYY49h3bp15bp/dnY2rr32Wjz33HNn/axu3bqw2Wzo1q2bc19KSorHx2nSpAkSEhKwe/duBiMBiMGIt54RSxYQ3wzY9yPzRoiIzjNouvTSS9U2efJkNVyzaNGis9rJMI3VanXb16lTJ3z66ado1KgRjEbPH1lRUfYvkaU5dOgQTpw4oQIYCjycTeOlZySrsDgYEaw1QkR0TqQHRPI9Nm7ciAMHDuCzzz5DWloaWrdufVZbCTikvcyikdky0usxbtw4nDx5UiXBypCMDM189913GDNmzFmBi2tvykMPPYRffvlFPdby5cvxz3/+E82aNVNDRRR4GIyUNkyT0Ny+k7VGiIjOSXR0NFavXo3+/furZNPHH38cL774okomLWnixIlqWKdNmzZqJo0EL8nJyVizZo0KPCTfRPI/pDBabGws9HrPH2HyGL/99huuu+469Zy33norOnfurGbxsNZIYOIwjZdhmmxLtkvPyB7AZgO8vPGJiMgz6QFZsmSJx5+5Vl8VEjjIbJeSmjdvrnpUykvqmUjvCVUf/HT1VmdEhmliGwB6I1CUZ09kJSIiosAIRubMmaPG9kJDQ1UW8/r160ttL0VrZNxPEoeki0yi32+//RYBnzNiMAFxjew/OFj6ayQiIiIfBSMLFy7EhAkTMGXKFGzevFnNIZeEoNTUVI/tCwsLcdVVV6kkIikJvGvXLrzxxhtep18FTM6IDNOIZn3sl18/AKRzVg0REZHfg5EZM2Zg7NixKpNZkozmzp2rKuZJRTxPZL9kQn/++edqWpf0qPTs2VMFMYGcM1JgLYDFagH6PAHUuwjIPw18eIO9GisRERH5JxiRXo5NmzapRY6cD6DXq9ueko7El19+ie7du6thGlngSNYdkGle3qZkiYKCAmRmZrptvg5GnLVGTGHA8A+BmAbAyb+BhTfLghA+Ox4iIqKarkLBiMz7liBCggpXcvvYsWMe7/P333+r4Rm5n+SJ/Pvf/1bTumTBIm+mTZum1ilwbLIGga8Y9AaEG8PP5I2IyNrAjQsBGcLZvwb4arwsl+mzYyIiIqrJqnw2jRStkVUTX3/9dTXPe9iwYaoUsAzveDNp0iRkZGQ4t4MHD8JvtUYc6rQBhs4HdAZg64fATzN8ekxEREQ1VYWCEanrL8Vkjh8/7rZfbruusuhKZtDI7BnXVRJl3rn0pMiwjycy40YK5bhufplRI8M0riSZ9Zri9RGWTwX+OLucMREREVVhMCLrBkjvhpTWde35kNuSF+KJJK3KwkTSzkGWfZYgRR4voAufufaMOHQdC3S703590Z3AoU0+PjoiIqIgH6aRab0yNfedd97Bjh07cNdddyEnJ0fNrhGjRo1SwywO8nOZTTN+/HgVhHzzzTcqgVUSWqtF4TNP+j0DNO8HFOUDHw0HTvt2GImIiKgsUlJDFincsmULalwwIjkfL7zwglp5sWPHjupFSqlfR1KrrCVw9OhRZ3tJPpWyvLLAUfv27XHfffepwOSRRx5BoHIrfOaJ3gAMeQuo0w7ISQU+HAbk+27GDxFRdSLD8vfeey+aNGmihuHlc+Haa69162Wn4HZOa9Pcc889avNk1apVZ+2TIRxZPbG6iDKVKHzmSUgUMGIB8GZvIPUP4JN/2W8buNwPEZHrt3MZrpeF7Z5//nm10J3FYlFfUqWHfOfOnf4+RAoAXJvmXIZpHGLrAyM+AoxhwO5lwCdjgKIC3xwkEVExGSr3tuXn55e7bV5eXpltK+ruu+9WQwWybMj111+vJjS0bdtWDfm7fkmVXvV//vOfiIyMVJMWhg4d6jZZ4oknnlC98e+9954qnillH4YPH46srDN/p6WMhAQ7slBefHy8qoHlesxvvvmmmkAhS5m0atUKr7zyyllDGrIg35VXXqmKeUpxTtcaWvv371c9OnFxcYiIiFCvw7G0iSz6JwGXKyn2KY/psHXrVvXYUVFR6jVKDubGjRs9nrcbb7xRjUS4kiBOJpK8++676raMSlx22WXqeeX1/uMf/8CePd5XmS/PMYovvvgCnTp1UudJerOefPJJFBUVoSoxGClPSfjSpHQGbngbMJiBHV8CH40ACnOr/iCJiIrJB7i3TQIAV1JqwVvba665xq2tfOiXbFMRki8oH5jSAyIf3iU5PhhlgoMEItL+hx9+wLJly1SNqpIfxvJBKx+eX3/9tdqk7bPPPqt+JukBI0aMwL/+9S+Vzyi99IMHD4ZWXBPqgw8+UOkFTz/9tPq55C5K3SvJf3QlpScmTpyoUhAkcJLHdHwQy+uQopyrV6/Gtm3b8Nxzz1XonNx0002oV6+eSluQAqKSrmAymby2/eqrr5CdfeZzSHqTcnNzMWjQIHVbAi0J6iSgkSEvKUIqP3OdMFJRP/74o8r9lHSK7du347XXXlNBjJy3KqVVAxkZGfJuUpe+8NGOj7R289tp41eML/+ddi/XtP8kadqUaE17q5+m5Z2uykMkoiCTl5enbd++XV2WJH8fvW39+/d3axseHu61bc+ePd3aJiQknNWmItatW6fu89lnn5XabunSpZrBYNAOHDjg3PfHH3+o+65fv17dnjJlijr2zMxMZ5uHHnpI69atm7q+adMm1X7fvn0en6Np06bahx9+6Lbvqaee0rp3766u7927V93/zTffPOsYduzYoW5fcMEF2hNPPOHx8d9++20tJibGbd+iRYvczllUVJQ2f/58rTwsFos6/++++65z34gRI7Rhw4Z5vU9aWpp6vm3btrm9pl9//bXcx9i7d2/tmWeecWvz3nvvaXXr1j2n92Z5P7+Z4FDeomdladoLGPk58MENwIG1wDvXAjd/BkQkVN2BEhHJ3yqXb88ludZ4Et4WNRXyzdqVDF2cD0evRFmkp0KSWl2rbcvaZ9JzIj+76KKLnD01MsThICUiHK9HhlR69+6thmlk8da+fftiyJAhakhFehCkV+XWW29Va6s5SI+HDPe4kokWro8v5DlkWEcmYMgM0aVLl6ohIOl1cm1fFunFuO2229RQk9z/hhtuQNOmTT22NRqNaqhKenRGjhypXoMMnyxYsMDZ5q+//lK9PevWrVMV0h09IjLkJUuvnAsZSlqzZo1bT4hUUJfhPumVkeGrqsBhmooUPStLg27ALV8D4QnA0a3A29cAmUeq5iCJiIrJEIi3Tcb9y9tWci3KalsRzZs3V/kIlZWkWnJIQx7b8QEsQZcM7yxevFgFMrNmzULLli2xd+9eZ7AmZSlk+MWx/f7772dNrnB9DkcuheM5JJCQ4SMJDmSYpkuXLup5HIFcyeBLcjxcSd7LH3/8gQEDBmDFihXqOBct8l48U4ZqZPhFgiEZnpLfz9VXX+38ueSvyNCWvC4JSGQT3gqKlucY5VxJjojreZLXKoFPyfdSZWIwUtGiZ2Wp2x4YsxiITgHS/wTmXQ2c3Fv5B0lEFOBq1aqleinmzJnjMfn19OnT6lKSSmXZD9elPyRfQX4uH9jlJcGDzNyRD9Nff/1VFdaUD3spPZGcnKwCiWbNmrltjRs3rtBrkt6bO++8UyW6PvjggyoQEImJiSqZ1vV1eqrvIXkoDzzwgOpdkZyWt99+2+tzXXLJJer5Fi5cqHpIpCfFESydOHECu3btwuOPP656hOQcnjp1qtRjL88xSuKqPG7J8yRbyZ6zysRhmvOZTeNNYgvgX0uAd64DTu21BySjPgdqt67cAyUiCnASiEiA0LVrV0ydOlUNa8jwiPRivPrqq2oYRoYsZHhFegJmzpypfi6zcHr27Kl6H8pDegWkF0GGZyRJV26npaWpD2khAYoMs8iwjPQuSCKqJH7KB7gMn5TH/fffr5J8JaCQ+61cudL5+N26dVNDGI8++qh6Hnl+Sfx0kJlKDz30kBo6kgDo0KFDKpG1ZIKxp1k1spabFA2V53OQ4SeZQSPrvslwkgzNlFW/q6xjFDLsI7NyGjRooI5VAhAZupFepNIWuD1vWjXg6wTWo9lHVQJrx3c7ajab7dwfKPOops252J7U+mxDTTu0qTIPk4iCSGlJgoHuyJEj2rhx47SGDRtqZrNZS0lJ0a677jpt5cqVzjb79+9X+yIiIlSi5w033KAdO3bM+XNJYO3QoYPb47700kvqMYWcm379+mmJiYlaSEiI1qJFC23WrFlu7T/44AOtY8eO6hji4uK0yy+/3JlcWzLZU5w6dUrtcxznPffcoxJh5fHleUaOHKmlp6e7JYM2a9ZMCwsL0/7xj39or7/+ujM5tKCgQBs+fLhWv3599fzJycnq8cr6fW7fvl09hrzOkp9Hy5Yt01q3bq2Op3379tqqVatUWzkOb6+ptGN0WLJkiXbJJZeoNtHR0VrXrl1Vu6pMYNXJPwhwmZmZKpqVFXx9sWieDM90/8i+1s6GmzYg1Hge42S5J4EPhgCHNwGSizL4daBV/8o7WCIKCpJAKPkP8q26KsfuiSrzvVnez++gzhlZ99Xf+PylzTh93L0uSLgpHDroyl9rpDThtYBRXwCNegAy7LNgBPDdY4DVPWmIiIgoWAV1MHJoxykc3nUax/e5ryuj1+mdSayZhZWw5oyUjpdpvt3ust9eOxt4uz+Qcej8H5uIiKiaC+pgpHZD+xTe1P2ZlVNrpDRGM3DNs8Cw94GQGODQemDuZcCfSyvn8YmIiKopBiMA0vZneZ1RU2nBiEPra4E7fgDqdgTyTgEf3gAsmwJYq7buPxERUaAK6mAksaE9mSbtYBZsVvda/o5hmgoXPiuPWo2BW5cCXW+3314zE3jnHyyQRkRlOp91R4gC9T0Z1HVG4uqEwxRigKXAilPHchGfEll1wzQlGUOA/s8DDS8BvrjXXkJehm1ktk2zPlXznERUbUkBL6n5cOTIEVW8Sm6XXG2VyJdkMq5Ue5V6LvLelPfkuQrqYESn1yGxQRSO/HVa5Y14CkbOufBZebUdBCS1Bz4eDRzbBrx/PdBpNNDnCftMHCKi4lLeMnVSVqeVgIQoUEghNSmSdj4VWoM6GHHkjdiDkSy0vsRHwzQlxTcFbv0e+O5RYONbwOZ3gB1f2gOSC0fJX6GqPwYiCnjyzVP+6EuFUlm8jMjfZE0gWdTvfHvpGIwU541IMOKqyodpSjKFAv+YAVwwBPhmIpD6B/DVeGDzu8CAF4HkC31zHEQU0OSPvqxPUnLROKLqLOi/cicWz6g5cSgb1iLb2bNpzrfoWUVJDskdq4F+0+wVW6Vy6+tXAl9PsFdzJSIiqmGCPhiJSQxDSLhRBSInj5xZybBSi55VlMEIdL8buHcjcMFQSROyD9/M7gJsfk9Sl31/TERERFUk6IMR6fKUJNaSxc+izdG+HabxJCoJuP4NYPTXQGIrIPcE8OU9wLx+wN7Vksrsv2MjIiKqJEEfjHjLG/HbMI0njXsAd/4E9P0PIMcl1VvfudYelEgFVwYlRERUjTEY8VIW3jmbpqqn9paXwQRcci9wzwbgorGAIQQ4uM5ewfW1y4HtX3D4hoiIqiUGIy5JrCcP56DIYvVtnZGKik4GBrwA3P8b0P0ewBQBHPsN+N8o4NXuwNaFLC1PRETVCoMRCTxqhSIsygSbTcOJQzluwUiOJUdVmQs4kk/S72ng/m3A5Q/ZF99L2wksuh2Y3RnYNB8ozPX3URIREZWJwYgziTXabajGMUxj1azIK8pDwIqIB3o9DjywDej1byCsFnBqn71GyYstga/ut08PDsSAioiIiMGI97yRMGMYDDpDYA7VeBIaA1w+EXjgd6DfM0BsQ6AgE9j0NvBGL+DVS4FfXgVyTvj7SImIiNwwGDkrGMly9pYE1Iya8jJHAN3HAfdtAUZ9CVxwgz3ZVSq6LnkEmNEK+N9oYPf3gI3lpImIyP+Cvhx8yem9p47mqFV8ZTXfKFMUMgoyqkfPSEmynk2Tnvat/ylg2yfAr+8BR7cC2z+3b9EpQOtrgZb97ZVfZcYOERGRjzEYKRYRG4KIGDNyMgqRfjALdZvFBu6MmooKiwO6jrVvR3+zByW//Q/IPAysm2vfQmOBFv3sgUmz3kCI/bUTEREF5DDNnDlz0KhRI4SGhqJbt25Yv36917bz589XQx6um9wvECWWKH5WLYdpylK3PdD/eeDBXcDwD4GONwPh8UD+aeC3hcDHo4HpTYD3hwAb5wGZR/19xEREVMNVuGdk4cKFmDBhAubOnasCkZkzZ6Jfv37YtWsXateu7fE+0dHR6ucO57vUcFXmjez7Lf2sGTXVvmfE2yrBrQbYN8kdkQJqO78Bdn0LnPwb2L3MvuEBIKEl0OhSoNFlQMPLgKg6/j56IiIK5mBkxowZGDt2LMaMGaNuS1DyzTffYN68eXjkkUc83keCj6SkJFS3svA1ZpimLHqDPWdENik5n7YL2PUNsPNb4PBGIH2XfZOeEhHfDGjoCE4uBWJS/P0KiIgoWIKRwsJCbNq0CZMmTXLu0+v16NOnD9auXev1ftnZ2WjYsCFsNhs6deqEZ555Bm3btvXavqCgQG0OmZmZPp1Rc/p4LgrzipzBSI0apimL9FrVbmXfejwI5J4E9v8M7F8D7PsROPY7cGK3fdv8jv0+cY2A5E5Ackegbgf7JnkqRERElR2MpKenw2q1ok4d9256ub1z506P92nZsqXqNWnfvj0yMjLwwgsv4JJLLsEff/yBevXqebzPtGnT8OSTT8LXwqLMqhpr1sl8pB3IqtnDNOUVXgto/Q/7JvJOAQd+Afb9ZA9QZHaOFFmT7Y/PztxP6pw4gxO57Ggv0EZEROTr2TTdu3dXm4MEIq1bt8Zrr72Gp556yuN9pOdF8lJce0bq168PX/WOSDByfH8molKCsGekLNLj0fIa+ybyM4FDG+xBydEtwJEtwOn9ZzZZwM8hIhFIaHFmSyy+jK5nn4pMRERBqULBSEJCAgwGA44fP+62X26XNyfEZDLhwgsvxO7du722CQkJUZu/Fs3b82sa0vZnIbIRe0bKFBptnwosm4P0nkhwIoGJBChyXZJic9Lsm/SouDKF2/NQJDCRIZ/YBkBcQ/tlTH3WPyEiquEqFIyYzWZ07twZy5cvx8CBA9U+yQOR2/fcc0+5HkOGebZt24b+/fsjsJNYM1HHkTNSyJ6RCveeNLnCvjkUZAHpfxVvkhD7p/36iT2AJde+8rBsJen0QFTymQBFghNZuTiqrn2xQNmkx0WScImIKDiGaWT4ZPTo0ejSpQu6du2qpvbm5OQ4Z9eMGjUKKSkpKu9DTJ06FRdffDGaNWuG06dP4/nnn8f+/ftx2223IRAlNrAHIJnp+WhojVDXsyzsGTlvUkQtpZN9c2W1AKf2FwcofwGnDxRvMsxzACjKBzIP2bcDP3t+bFlDKLJ2cXBSF4isYw9QpH5KRIL90vW60T+9bkREVEnByLBhw5CWlobJkyfj2LFj6NixI5YsWeJMaj1w4ICaYeNw6tQpNRVY2sbFxamelZ9//hlt2rRBIAqNMCEmMQwZaXnQUu3F2dgzUoVkCCZBhmianf0zWWlYhnUkWHHmoRwEso4BWUftlzmpgGYtvi0F2n4t+zlDou2JuVJ1NizWfikLDZ51PcbeVorfhcgWBUhvmYGFi4mIKpNO0wJ/bXlJYI2JiVGzcaSAWlVb+ubv+GtjKlr0i8OEzFFqjZqfb/TyrZz8Swq2ScDiCE4cl7kngJx090vZJHA5X8ZQ9wDFFAGYwuyLFEr+i6frch/ZpNicuh4CGMPsl6biS1nQUF2a7ZtcD9ACgURElfn5Xa2+4slwkCTQliT7XEvMSztvpNcmLCys1LaRtY0osOTh5D4zUMs+m8am2ZCflw9vsZsUdgsPD3fezs3NLXfbvLw8lXvjTURExDm1zc/PVzk6ldFWjtdROVdqwBQVFVVKW/ldOHrSpI6NxWKpeFt9FBAjWwtnW3k/ON4rzrZy3qTsfe4pIO+EfSZQ/mmE2nJhkKG4vNOwZJ9EYfYpezv5ufSKSQJzQQ5gLUCIETDK0FFRPixZaSgsJbZRbfX281Bk01Dg/TTAbABMBg9t9SbAKMGJyR6s6M0wh5hgMst1E6w6I/JtBvvP9UZ7e7XJPiNMJmkvbY2wanrky/FKW8nF0Ul7g/1+OgNMZhPMIaFqn03TIc9is7eTNjIUJr9TlZtjgCnEBLM5VP3cpgF5ciLUY+qKN33xffQwGk0Ikf+fOh006JCbX1gcZOnc7wMPbXPzXX7ufqn+38v/ZXkM6JCTm2c/Z84A7kx7g9Fo/xtRfFv9vy/5mMX31esNCHP+/3RtW/yYzufQnfl7Uvzz3Nw8+/97R3uXYJJ/I/z4N8IDj38jytFW2kl7b2TyhdForHDboqIit/pannI2ZQJIRdvK70x+d95IO2lf0bbyHpP3Wnnalke1CkaSk5M97pdkWKkC6yBl6eU/uic9e/bEqlWrnLdljR2pn+JJo6RWiHzWCA0aOkz9ErteugOWjFSPbUMSG6DF3a87b//5yu0oSDvgsa0ppjZa3f+u8/buN+5F3pG/PLY1hMegzUMLnbf/nv8QcvZv89hWZwpBu0fPTKXd9+G/kfXXBnhzwZQlzuv7P/4PMrf/5LVt20mfQy8fPgAOfv4CTm/93mvb1hMXwBgRq64f/mY2Tm782mvbluPnwxxrn4l1dOkbSF/7qde2ze+ai9DajdT14yvfQ+rqD7y27TjmZcTUbakWXzq49hPsXvmm17aXDp+OOg06QqcBf2/+Er8u/5/Xttdd9yBaNmoHk1aEP7b/iC+Wn/k9lnRbn5vQuekF6hg27fkNr3//ode2/+oxFJe16Kqubz2wAy8ve8tr2xsvHoorW/dUH4a7jv6FF5a85LXt9V2GoN8F9mnY+9L24ZmvPU+nF//oMBDXXTgYmk6HoycP4YkvzhQ3LOmqtgMwpOtNgAakZ6fjsU/u89q2Z6u+uLH7rep4s/IzMfEj7/liFze7AmN62JPh8y35GP/+zV7bdmrUHbf3mqiOQdz59vVe27ar1xn39H3cefu+d4ejsMjzH/PmSW3xYP+nnbcnfjgK2RKYetAwoRkmXfeC8/aj/xuLk9lpHtvWja2PKYNnO28/+dk9OCrDjh7UiqyNp4e+4bz97JcPYn+65xmIkaHReP7G95y3Z3z7GP6S4oQemI0heHn0x87bc76bit8PbYQ3r976pfP6G8ufxeZ93nuIZ476H0Kk5w/AO6tn4pe/VnhtO/3G9xAVFqOuf/TzXKze8a3Xtv8Z+gbii5eg+HT92/h+2yKvbf89eDaSJdEdwNebP8Q3v37kte3D172IRlJeQHrDf/sMiza87bXtA/2fQYu6F6jrq7Z/g4Vr53pte/dVk3FBg4vU9bV/fo93f3zZa9vbej2Mzo0vU9c37f0Jb654zmvbUT3Go3uLPur6tgMb8MqyqV7bDut+J65oM0Bd//PoNrz07aNe2w66aAz6th+srufGr8KD01/02nbKlCl44okn1PUdO3agXbt2XttOnDhR5YjWyGDE12xWDWEFscgLOY1sS476Bui1rQ3IzD8T3ZfyxUQ9jmtbaylt5ZuTa1v51lwat7bWym2rt9nbW8poa861IVyzwaQBJy2lt73wtA5xVh2M0OHnPB08h4V2/0zXI8Wmhx46LMnRY3Epba86bURDs/2bwfe5enifSA50zjGgRYb9v4I+X19q1klyYS00LGigrh+w/lnqa7OhKay4CPJdsgieg2OHQkND5BovVNcLDN6/8QiLoQ4KzK3s9zN5/2YirIZaKDTbAziLKb/0tsZoFIbYS/tbzN6/zQmbIQIWs/0Doqiw9N+xTR8KiznB/rjW0mc9aXozLGZ79d4iXemvTdObUGSyB71l0fRGFJlcu4i9D39pOmkbVc62hhJtvdfL0XR6FBUXUnTc9k4Hq1tbQ+W1NZ7p7dDKmIXm3rb0jwurMRxWGXosPodlt404h7alT/O3GcJUe3VdX1bbUGdbeS+VegyGkAo8rktbGW4tra3e9XFDynhcs8vjltFWek2L28qxl0Zeu/NxS+n5qmrVKmfkyJEjHsecKnuYRix8ej0yUvOxvM1C7I/fhLuavYKe9VqW2q16pmsXyCujC9a1bX4Z3arhrl2lFWhbUFa3akQENJsGS74V2RnZKMwphCXPCkteESwF9suiPCusFisMNjOshTYUFVqRl5OHwrxCFMntAits0p3vwmwMdXbBWqyFsElehxcmYwj0xX+Ui6wWWIsDnnNpq7NZodOs0GtWmHV6GGSVaM0Ga1EBbNYC6GFTt6WNTn436tKGEJ0BMpqi12z2x7UWqJ/rVHtNtYFs0GA06GDQ66HBhiKtCBabBZp0qeg0aOoln7luNBhhkKEXHWDVrCjUiuyfa8WfbZoaXbD/3GgwwGiy/1G2ajZYJLfF8RkoB6fuJwepU21NRhlqkcBWQ6Gch+KhDHUXNTSkg07aGg2qG1h+HzZoKJTu8OLVsx2Pp86dzv64RpNJXbdqGixW+/m1/yqLD1xvv68Me5hMxY8r76EiRxe3fehF7iM9LOpx9XrVZasVP1dBYaF6NK24O12O2jGaYTAairuXder/T6HFJSgq/t073lvyfzlEhqvUY+lU97LrIpyuIYS0dXQZy8Oots7/nu7/T3U6PUJCznyIOLqt3UMS+1CMXq9DiEtXdEFBYfH/++LHdLmTWrHcpX5SfkEBNHk/OhtpXtpqKCy0uP+/L/G3JSw0VP2+HedXtT3rz4/mbOsgQwhWt78nLkNM3tp6+cSQ43Wcf/m9lfa3x97W/joLLZZS28r5dQy9WIqKSh3SqUhbeT8YzqGttcii2nsj71/5vyTkMcvd1motdajIZDSeGdKpQFv5nZU2VCTtpL1oefGliKqVWKnDNDUyZ0TGL13HMEtrV5HH9KRB8zrYdfIYErMbqmAkPtqGtg09r0rsWaRf2kpwkZdtQU5GAYxZOuRlacjLKlT78rMKkZtlQX52IfKyLGqfrMFzbqR/Qg+TvIUcXxTUH1YL9NYsGKwFaosuKoTBat/0tkLorRYYbBboXTaD1fV2EfSa9MJYoJPrzttFgHz4G60oMlhhNWqwmgCb2nSwhRiAUBM0+RAJMUEnf8hDzNCbQ6APC4U+xL4ZQkNhDAmDQa6H2K8bQ0JhkktzKEyh4er6mS0cJnOo+pmBs2iIiBQJ+iryWVsW/nUtpRLrrnXHkJBtXz8nu6i0AQTfsFltyD5VgMwT+cg5XeC2ZRdf5mbIt6KKd3YZQwwICTPAYLICWj60okxoBRnQ5Z2GIS8TptwshOZkIzwnF6GWfBiK8mG05sNgzYexqAB6m2xFXju088xAXpgBBeFGWMLNsEaEwBYeBltUBBAVCURFQx8dD0NUFMyRMQiNikNIVCzCo2shPCZeXYZFxLpNGyciopqBwUgZlVgTc5JVt+TbO2eib9OuqB9ddWvkSPeu9Fhkpuch80SeKrymrhdfSiAiPR9l0tkX/QuPMiE0svgyyoywSBN0+nxkndyDnON/oSj1b+hSDyEk9TgiT2QhJqMIxlLyV1zlhOqQHW1CfmwYiuLigNhoGOJiYYqthZD4REQkJCEyMRkxiSmIq90Q5rAzw1JERESuGIx4kVA/Uo0tR1jDEJrZEhkxu3D38rvxfv/3ERNizwI/n6BDAouTR3Nw6mhO8WUuTh3LQUFu6cMmBqMeUfGhiIg1IyI2BJGxIepSbTH2S3M4cGT3ZhzbsR6Zu3egcMd+aIfTYD6eg5hsG0rrWLPqgIwYA7Ljw2FJjIUuKRHm2kkIT0pBVHID1EppiviUpggLr/p6L0REFBwYjHhhMhsQUycCp4/mIPbgjdDqvop9mfswfuV4vH7V6zCXkSXtUJhfhPSD2Wqtm/RD2fbg41iuSvz0SAcVYEjAEZMQhqiEMEQnhCJaLuPDEBFjdiaqiZzsU/h780r8/eMvKNixAyF/H0XikRyEWACZZ+BprkFGpB4ZdSJgSUmEITkJoSkNENuwGWo3aYvaDVqpHAkiIiJfYTBSipiUcBWMJBdF4rE+czBq8ShsOr4JT/z8BJ6+7Gm3zH0hM00k4Ejdn4W0/ZlIPZClgg9Pk2r0Bh1iaoejVt1wxNWNQK2kCHUZWycMRpPn6XZ5uZnYvPwTpG74CdZdfyFiXxoSUwth1AB7ZssZBUbgZGIo8pLjoGuQgvCmzZDQsgPqt+mG1vF1K/M0ERERnRcGI6UIT7LnOdS16dEirgVm9Jyhhmq++vsr1IuqhzHNbsORP0/j0K5TOLonAyeP5HjM6YiMC1EL8MlWKzkCtepGIDoxDAZD6cmY6ScPYecPn+PkujUwb9uNuvuzEV4E2KtGnJEVocPJ+rGwNWuAyLbtUa9TDzRv0w1GU/mr3xEREfkLg5FSmBPtwxWJFr3K8+gcdxEmJj6JH9dtQtrWKMzLPbtiaViUCbUbRaN2gyiVBCuzciSXozwOHt2Fnd9/gqwN6xCx/QBSDhcgXgPiXdpkReiR3jwR+lbNEHdBJzTq0gutGrQ8q5eGiIioumAwUpoYE6zQEGrTYeHTG3DycDY0LQrtcYWzSViiHs3aJSOleSzqNI5WCaTlDQxO55/Ghr9W4MiSLxDx0za02J2HeiVSSU7FGZHZqh7CunRG48sHoGXbbpzeSkRENQqDkVLk2TSkGjTUtepw4lC22hdbJxzJLWKxyvY1vi34FKYIHd6/+n00iSm7IFqBtQCbj2/G5p0rkLN8JRpsOoK2BzTUc5lOezIhBDntmyCmW3c063kdWjdqWZUvkYiIyO8YjJQit7AI34cVondEJEb1b4GUFnEq/0N0L2qEPUu3YGvaVtz9/d34cMCHqBVay34/Sy72Z+5Xs2/2ZezD3sy9OH50N5J/3oMu2wtxxSEpPX7meTLrx8Fw5aVoNnAkWrW+gEMuREQUVBiMlCKnwIpjRg1pTcPRspt9ZVmHUGMo/tvrv7jpm5twKPsQ/rXkX0gIT1DBx/Hc4852epuGq37VcM9qGyJd1inLb14Pta7uj7oDBsHcqGRKKhERUfBgMFKKnAJ7AbKIEM+nSXpCXunzCm7+9mbsydijNofYkFhcnloLA748jrhDGWqfrklDJN4wHNF9r4Ipxb46KhERUbBjMFKKnEJ7MBJu9r7MduOYxniz75tYfmA5UiJT1O36OaHI++9ryFq8RLXRx8Qgcfx9iBs6FLri1RGJiIjIjp+MpcgttE9tifTSM+LQOr612mz5+Tgxbx7SXn8Dmiw7rtcjbvgwJNx7L4yyfgsRERGdhcFIOYZpws2lnyapQZL1/fdIffY5WA4ftt+nSxfUefwxhLZq5ZNjJSIiqq4YjJQrZ8T7MI1IfeEFnHxrnrpuTEpCnf97CFHXXMNZMUREROXAYKQUOcXDNKX1jFiOHMHJd95V1+Nvvx0Jd94Bfbi9jDwRERGVjcFIGXVGyuoZOTHvbaCoCOHduqH2hAd8eHREREQ1A+uKl1FnRER46RkpSk/H6Y8/VtelR4SIiIgqjsFIeRJYvfSMnHznHWgFBQht3x7hF1/s46MjIiKqGRiMlGNqb4SHnhFrRgZOffiRs1eEyapERETnhsFIOYqeearAevL992HLyUFIixaIvOLMKr5ERERUMQxGzmFqrwQhp959T12Pv+N26PQ8jUREROeKn6JeFBbZYLFqHqf2nlqwUA3TmBs2RPTVV/vpCImIiGoGBiNlTOsVES5r09gKCnBi/tvqevztY6EzlF4QjYiIiErHYKSMgmchRj2MhjOnKeOzz2BNS4exbl3EXHutH4+QiIgoiIOROXPmoFGjRggNDUW3bt2wfv36ct1vwYIFatbJwIEDUX3yRc4M0WgWC0688aa6Hn/rrdCZzX47PiIioqANRhYuXIgJEyZgypQp2Lx5Mzp06IB+/fohNTW11Pvt27cPEydORI8ePVC9Fsk7MwyT8fU3qvy7IT4esUOu9+PRERERBXEwMmPGDIwdOxZjxoxBmzZtMHfuXISHh2PePPtCcZ5YrVbcdNNNePLJJ9GkSZMyn6OgoACZmZlum79rjGhWK068/rq6XuuW0dCHhvr8mIiIiBDswUhhYSE2bdqEPn36nHkAvV7dXrt2rdf7TZ06FbVr18att95arueZNm0aYmJinFv9+vXh72m9WcuWoXDvXuijoxE3YoTPj4eIiKimqlAwkp6erno56tSp47Zfbh87dszjfX766Se89dZbeOONN8r9PJMmTUJGRoZzO3jwIPxZ8EzTNKTPfU3drnXzzTBERvr8eIiIiGqqKl21NysrCyNHjlSBSEJCQrnvFxISorZAWCRPckayf/gBBTt3QhcejriRN/v1uIiIiII6GJGAwmAw4Pjx42775XZSUtJZ7ffs2aMSV691mQJrs9nsT2w0YteuXWjatCkCuc5IhMmAE8W9InHDh8MYF+fnIyMiIgriYRqz2YzOnTtj+fLlbsGF3O7evftZ7Vu1aoVt27Zhy5Ytzu26667DlVdeqa77Ixekoj0jjQ//ibwtW9Q0XklcJSIiIj8P08i03tGjR6NLly7o2rUrZs6ciZycHDW7RowaNQopKSkqCVXqkLRr187t/rGxseqy5P5A40hgbfPLYnUpU3lNtWv7+aiIiIhqngoHI8OGDUNaWhomT56sklY7duyIJUuWOJNaDxw4oGbY1JQKrLFH96vLKK5BQ0REVCV0mkwVCXBSZ0Sm+MrMmujoaJ885/gFv+KrzQfx1TePQm+1otmqlTB5yIshIiKi8/v8rv5dGFWYM5KQl6ECEZ3JBCOHaIiIiKoEg5FSckbq5p5Q10316kFXA4aeiIiIAhE/YUuZ2puUc1JdN9Wv5+/DISIiqrEYjJSSwJpU3DNirhe4U5CJiIiqOwYjXuTKMI2zZ4TBCBERUVVhMOJFtgpG0tV1cwMGI0RERFWFwYgHMts5V4ZpHD0jHKYhIiKqMgxGPCi02hCSn4toS666ba6X4u9DIiIiqrEYjHiQWyDJq/ZeEUN8PPQREf4+JCIiohqLwYiXfJGkHMdMGk7rJSIiqkoMRjxQ+SKOgmecSUNERFSlGIx4kFPoOq2XPSNERERVicGIl1LwLHhGRETkGwxGvCySx1LwREREvsFgxIPc/ALUKZ5NY2bOCBERUZViMOKB5dhxGDUbigxGGGvX9vfhEBER1WgMRjzQjhxWl9mxidAZDP4+HCIiohqNwYgH+qP2YCQ3vo6/D4WIiKjGYzDigTH1qLosSEzy96EQERHVeAxGPAhNO6YuLbXr+vtQiIiIajwGIx6EnziuLrW6XCCPiIioqjEY8SDqZKq61CUn+/tQiIiIajwGIyVYs7MRnpelrhtSWPCMiIioqjEYKcFy8KC6zDBHIDwu2t+HQ0REVOMxGCmhsDgYORoRjwiz0d+HQ0REVOMxGCnBcvDQmWAkhMEIERFRVWMwUkLhIXvPyLHwWgg3s/oqERFRVWMw4qVn5Bh7RoiIiHyCwUgJBY6ckfBaDEaIiIh8gMGIC81qRdHhw86ekTATh2mIiIgCMhiZM2cOGjVqhNDQUHTr1g3r16/32vazzz5Dly5dEBsbi4iICHTs2BHvvfceAlHR8eNAUREsOgNyo2vBoNf5+5CIiIhqvAoHIwsXLsSECRMwZcoUbN68GR06dEC/fv2QmmqvWlpSrVq18Nhjj2Ht2rX47bffMGbMGLV99913CDSFxfkix8PjEBZq9vfhEBERBYUKByMzZszA2LFjVUDRpk0bzJ07F+Hh4Zg3b57H9ldccQUGDRqE1q1bo2nTphg/fjzat2+Pn376CYHG4phJo5JXOURDREQUcMFIYWEhNm3ahD59+px5AL1e3Zaej7Jomobly5dj165duPzyy722KygoQGZmptvmy4JnxyJkWi+TV4mIiAIuGElPT4fVakWdOnXc9svtY8eOeb1fRkYGIiMjYTabMWDAAMyaNQtXXXWV1/bTpk1DTEyMc6tfvz58Oq03XKqvsmeEiIioxsymiYqKwpYtW7BhwwY8/fTTKudk1apVXttPmjRJBTCO7WBxj4WvCp6x+ioREZHvVOgTNyEhAQaDAcdl1okLuZ2UlOT1fjKU06xZM3VdZtPs2LFD9X5IPoknISEhavO1Mz0jtdCKOSNERESB1zMiwyydO3dWeR8ONptN3e7evXu5H0fuI3khgcSanQPryZPqOnNGiIiIfKfCn7gyxDJ69GhVO6Rr166YOXMmcnJy1OwaMWrUKKSkpKieDyGX0lZm0kgA8u2336o6I6+++ioCieWwvVekMCIKuaYw5owQEREFajAybNgwpKWlYfLkySppVYZdlixZ4kxqPXDggBqWcZBA5e6778ahQ4cQFhaGVq1a4f3331ePE0gKDxxQl1m17K+DOSNERES+odNkvm2Ak6m9MqtGklmjo6Or5DlOzHsbqdOnY+8F3XF30+vxUL+WGHelPc+FiIiIqu7zm2vTlCh4djI6UV2Gc5iGiIjIJxiMlCgFnxadoC4jmMBKRETkEwxGilkOnqkxIpgzQkRE5BsMRqRMvdUKy+HD6vqRsFrqMpx1RoiIiHyCwQiAotRUaBYLYDTiqMmeYBPBYRoiIiKfYDDiskCeKSUZ2UU2dZ0JrERERL7BYMSlDLy5Xn3kFFjV9UjmjBAREfkEgxGXBfJM9eohp7BIXWfOCBERkW8wGHHpGdElp8BRAi6COSNEREQ+wWDEZVqvNSnZuS/MxJ4RIiIiX2AwooZpihfJq52kLmWRPL1e5+ejIiIiCg5BH4zYcnJgPXFCXc+Lr6suw5m8SkRE5DNBH4wUHrIXOzPExCDXHOrsGSEiIiLfCPpgxLFAnql+feQU2qf1hjN5lYiIyGeCPhhxFjyrXw85BfZpvawxQkRE5DtBH4y4FzxjjREiIiJfC/pgpPDgAWfPSG7xME0Eh2mIiIh8JuiDEWfPiMoZKe4ZYQIrERGRzwR1MKLZbLAU1xhRCazFwzQRzBkhIiLymaAORopSU6FZLIDBAFNSknORvAjmjBAREflMUAcjjjLwpuRk6IxG5DqHadgzQkRE5CtBHYwUOvNF6qlLR50RFj0jIiLynaAORs4UPGugLpkzQkRE5HtBHYyU7BnJdeaMMBghIiLylaAORpw5I/Xqq0tO7SUiIvK9oO4CiLziChjr1EFI82bqNodpiIiIfC+oP3UT7rzD7faZBNagPi1EREQ+FdTDNCXlOntGOExDRETkKwxGitlsGnIt9p4R1hkhIiLyHQYjxfIsVmia/Tp7RoiIiAI8GJkzZw4aNWqE0NBQdOvWDevXr/fa9o033kCPHj0QFxentj59+pTa3l8cM2l0OiDMxGCEiIgoYIORhQsXYsKECZgyZQo2b96MDh06oF+/fkhNTfXYftWqVRgxYgRWrlyJtWvXon79+ujbty8OHz6MQOKsMWI2QicRCREREfmETtMcgxPlIz0hF110EWbPnq1u22w2FWDce++9eOSRR8q8v9VqVT0kcv9Ro0aV6zkzMzMRExODjIwMREdHoyr8cSQDA/77E2pHhWD9Y32q5DmIiIiCSWY5P78r1DNSWFiITZs2qaEW5wPo9eq29HqUR25uLiwWC2rVquW1TUFBgXoBrltVO7NiL5NXiYiIfKlCwUh6errq2ahTp47bfrl97Nixcj3Gww8/jOTkZLeApqRp06apSMqxSc+Lr3JGmLxKRERUg2fTPPvss1iwYAEWLVqkkl+9mTRpkurScWwHi8u2+yJnhNN6iYiIfKtCn7wJCQkwGAw4fvy42365nZSUVOp9X3jhBRWMfP/992jfvn2pbUNCQtTmS86eEa5LQ0REFLg9I2azGZ07d8by5cud+ySBVW53797d6/2mT5+Op556CkuWLEGXLl0QiBzr0oQzZ4SIiMinKvzJK9N6R48erYKKrl27YubMmcjJycGYMWPUz2WGTEpKisr7EM899xwmT56MDz/8UNUmceSWREZGqi1Q5BavSxPJYRoiIiKfqvAn77Bhw5CWlqYCDAksOnbsqHo8HEmtBw4cUDNsHF599VU1C2fIkCFujyN1Sp544gkEXs8Ih2mIiIh86Zy6Ae655x61eSty5mrfvn2oDhw9IxHsGSEiIvIprk1TLJs9I0RERH7BYKRYbvFsmkgmsBIREfkUg5ESFVhZZ4SIiMi3GIyU6BlhnREiIiLfYjBSLJtr0xAREfkFg5GSPSNMYCUiIvIpBiPFmDNCRETkHwxGzsoZYTBCRETkSwxG1Po62pmiZxymISIi8ikGI9IrYrEHIoIJrERERL7FYESCkeLqq3odEGLkKSEiIvIlfvK6lIKPMBuh0+n8fThERERBhcGI6yJ5HKIhIiLyOQYjalovF8kjIiLyFwYjrj0jnNZLRETkcwxGXHJGwrkuDRERkc8xGHEpeBbJnBEiIiKfYzDiWgqewQgREZHPMRhxKwXPYRoiIiJfYzCicka4SB4REZG/MBhxyxlhzwgREZGvMRhhzggREZFfMRhhzggREZFfMRhxqzPCnhEiIiJfYzDCtWmIiIj8isGIy9o0EUxgJSIi8jkGIy49IxymISIi8j0GI+wZISIi8isGIxKMOGfTsGeEiIjI14I+GLHaNORbbOo6E1iJiIh8L+iDEUeNERHOOiNERETVIxiZM2cOGjVqhNDQUHTr1g3r16/32vaPP/7A9ddfr9rrdDrMnDkTgVh91aDXIcQY9LEZERGRz1X403fhwoWYMGECpkyZgs2bN6NDhw7o168fUlNTPbbPzc1FkyZN8OyzzyIpKQmBmy9iUMESERERBXgwMmPGDIwdOxZjxoxBmzZtMHfuXISHh2PevHke21900UV4/vnnMXz4cISEhCDQ5Bb3jDBfhIiIqBoEI4WFhdi0aRP69Olz5gH0enV77dq1lXZQBQUFyMzMdNuqumeE+SJERETVIBhJT0+H1WpFnTp13PbL7WPHjlXaQU2bNg0xMTHOrX79+qj6GiPsGSEiIvKHgMzYnDRpEjIyMpzbwYMHq+y5chzr0rDGCBERkV9U6BM4ISEBBoMBx48fd9svtyszOVVyS3yVX5LL6qtERETVp2fEbDajc+fOWL58uXOfzWZTt7t3747qyNEzwnVpiIiI/KPCn8AyrXf06NHo0qULunbtquqG5OTkqNk1YtSoUUhJSVF5H46k1+3btzuvHz58GFu2bEFkZCSaNWsGf+O6NERERNUsGBk2bBjS0tIwefJklbTasWNHLFmyxJnUeuDAATXDxuHIkSO48MILnbdfeOEFtfXs2ROrVq2Cv3FdGiIiIv86p0/ge+65R22elAwwpPKqpmkIVI46I+GcTUNEROQXATmbxi/DNKwzQkRE5BcMRhxFz9gzQkRE5BdBH4zkFs+miWQCKxERkV8EfTDiGKbh1F4iIiL/YDDiWCiPwQgREZFfMBhx5oxwmIaIiMgfgj4YOZMzwp4RIiIifwj6YORMzgh7RoiIiPwhqIORIqsNBUU2dT2COSNERER+EdTBiGORPMGcESIiIv8I6mAktzh51WTQIcTIYISIiMgfgjoYcUzrZY0RIiIi/wnyYITr0hAREflbcAcjxcM0EZzWS0RE5DdBHYzkOoZpGIwQERH5TVAHI86eEQ7TEBER+U1wByNMYCUiIvK7oA5GHFN7I1ljhIiIyG+COhhx9owwZ4SIiMhvgjoYcfSMMGeEiIjIf4I6GMl2LpLHnhEiIiJ/CepgJLd4bZpIDtMQERH5TVAHI44KrFwkj4iIyH+COhhx9IxEcJiGiIjIb4I6GDmTM8KeESIiIn8J6i6BoV3qo3vTeDStHenvQyEiIgpaQR2M3Nitgb8PgYiIKOgF9TANERER+R+DESIiIvIrBiNERERU/YKROXPmoFGjRggNDUW3bt2wfv36Utt//PHHaNWqlWp/wQUX4Ntvvz3X4yUiIqJgD0YWLlyICRMmYMqUKdi8eTM6dOiAfv36ITU11WP7n3/+GSNGjMCtt96KX3/9FQMHDlTb77//XhnHT0RERNWcTtM0rSJ3kJ6Qiy66CLNnz1a3bTYb6tevj3vvvRePPPLIWe2HDRuGnJwcfP311859F198MTp27Ii5c+eW6zkzMzMRExODjIwMREdHV+RwiYiIyE/K+/ldoZ6RwsJCbNq0CX369DnzAHq9ur127VqP95H9ru2F9KR4ay8KCgrUC3DdiIiIqGaqUDCSnp4Oq9WKOnXquO2X28eOHfN4H9lfkfZi2rRpKpJybNLzQkRERDVTQM6mmTRpkurScWwHDx709yERERFRIFRgTUhIgMFgwPHjx932y+2kpCSP95H9FWkvQkJC1EZEREQ1X4V6RsxmMzp37ozly5c790kCq9zu3r27x/vIftf2YtmyZV7bExERUXCp8No0Mq139OjR6NKlC7p27YqZM2eq2TJjxoxRPx81ahRSUlJU3ocYP348evbsiRdffBEDBgzAggULsHHjRrz++uuV/2qIiIio5gcjMlU3LS0NkydPVkmoMkV3yZIlziTVAwcOqBk2Dpdccgk+/PBDPP7443j00UfRvHlzfP7552jXrl3lvhIiIiIKjjoj/iBJrLGxsSqRlXVGiIiIqgcpzSEzYk+fPq1mx1Zaz4g/ZGVlqUtO8SUiIqp+5HO8tGCkWvSMSJLskSNHEBUVBZ1OV+kRG3tcqhbPs+/wXPsGz7Nv8DxX//MsIYYEIsnJyW4pHNWyZ0ReQL169ars8eXk841e9XiefYfn2jd4nn2D57l6n+fSekQCuugZERERBQ8GI0RERORXQR2MSJXXKVOmsNprFeN59h2ea9/gefYNnufgOc/VIoGViIiIaq6g7hkhIiIi/2MwQkRERH7FYISIiIj8isEIERER+RWDESIiIvKroA5G5syZg0aNGiE0NBTdunXD+vXr/X1I1drq1atx7bXXqrK/UrZfVmd2JRO3ZLXnunXrIiwsDH369MFff/3lt+OtrqZNm4aLLrpILY9Qu3ZtDBw4ELt27XJrk5+fj3HjxiE+Ph6RkZG4/vrrcfz4cb8dc3X06quvon379s6qlN27d8fixYudP+c5rhrPPvus+vtx//33O/fxXJ+/J554Qp1X161Vq1YBc46DNhhZuHAhJkyYoOZWb968GR06dEC/fv2Qmprq70OrtnJyctR5lCDPk+nTp+O///0v5s6di3Xr1iEiIkKdc/lPQOX3ww8/qD8av/zyC5YtWwaLxYK+ffuq8+/wwAMP4KuvvsLHH3+s2svaToMHD/brcVc3sgSFfDBu2rQJGzduRK9evfDPf/4Tf/zxh/o5z3Hl27BhA1577TUVBLriua4cbdu2xdGjR53bTz/9FDjnWAtSXbt21caNG+e8bbVateTkZG3atGl+Pa6aQt5aixYtct622WxaUlKS9vzzzzv3nT59WgsJCdE++ugjPx1lzZCamqrO9w8//OA8ryaTSfv444+dbXbs2KHarF271o9HWv3FxcVpb775Js9xFcjKytKaN2+uLVu2TOvZs6c2fvx4tZ/nunJMmTJF69Chg8efBcI5DsqekcLCQvVtR4YJXBfjk9tr167167HVVHv37sWxY8fczrksniTDYzzn5ycjI0Nd1qpVS13Ke1t6S1zPtXTHNmjQgOf6HFmtVixYsED1PslwDc9x5ZPevgEDBridU8FzXXlkWFyG0Zs0aYKbbroJBw4cCJhzXC1W7a1s6enp6o9LnTp13PbL7Z07d/rtuGoyCUSEp3Pu+BlVnM1mU2Prl156Kdq1a6f2yfk0m82IjY11a8tzXXHbtm1TwYcMJco4+qJFi9CmTRts2bKF57gSSaAnw+UyTFMS38+VQ774zZ8/Hy1btlRDNE8++SR69OiB33//PSDOcVAGI0Q16duk/DFxHfulyiN/uCXwkN6nTz75BKNHj1bj6VR5Dh48iPHjx6v8J5lMQFXjmmuucV6XnBwJTho2bIj//e9/akKBvwXlME1CQgIMBsNZmcJyOykpyW/HVZM5zivPeeW555578PXXX2PlypUq2dJBzqcMRZ4+fdqtPc91xcm3xWbNmqFz585qFpMkaL/88ss8x5VIhghk4kCnTp1gNBrVJgGfJLvLdfl2znNd+aQXpEWLFti9e3dAvJ/1wfoHRv64LF++3K27W25LlyxVvsaNG6s3tes5z8zMVLNqeM4rRvKDJRCRIYMVK1aoc+tK3tsmk8ntXMvUXxkf5rk+P/J3oqCggOe4EvXu3VsNh0kPlGPr0qWLymlwXOe5rnzZ2dnYs2ePKrUQEO9nLUgtWLBAzeSYP3++tn37du3222/XYmNjtWPHjvn70Kp1Nvyvv/6qNnlrzZgxQ13fv3+/+vmzzz6rzvEXX3yh/fbbb9o///lPrXHjxlpeXp6/D71aueuuu7SYmBht1apV2tGjR51bbm6us82dd96pNWjQQFuxYoW2ceNGrXv37mqj8nvkkUfUDKW9e/eq96vc1ul02tKlS9XPeY6rjutsGsFzff4efPBB9TdD3s9r1qzR+vTpoyUkJKjZeIFwjoM2GBGzZs1SJ99sNqupvr/88ou/D6laW7lypQpCSm6jR492Tu/997//rdWpU0cFgr1799Z27drl78OudjydY9nefvttZxsJ8O6++241FTU8PFwbNGiQClio/P71r39pDRs2VH8fEhMT1fvVEYgInmPfBSM81+dv2LBhWt26ddX7OSUlRd3evXt3wJxjnfzjmz4YIiIiorMFZc4IERERBQ4GI0RERORXDEaIiIjIrxiMEBERkV8xGCEiIiK/YjBCREREfsVghIiIiPyKwQgRERH5FYMRIiIi8isGI0RERORXDEaIiIgI/vT/VKcJpBosZW0AAAAASUVORK5CYII=",
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",
       "text/plain": [
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From 89df8608ab15c30b72f17b962bba813d27eee009 Mon Sep 17 00:00:00 2001
From: Holger Roth 
Date: Fri, 31 Jan 2025 14:51:18 -0500
Subject: [PATCH 11/15] test locally

---
 .../1-consensus/README.md                     |   4 ++-
 .../1-consensus/consensus.png                 | Bin 0 -> 26714 bytes
 .../1-consensus/launcher.py                   |   7 +----
 .../2-two_moons/dgd_results.png               | Bin 76368 -> 63688 bytes
 .../2-two_moons/gt_results.png                | Bin 75513 -> 63835 bytes
 .../2-two_moons/gtadam_results.png            | Bin 45749 -> 38833 bytes
 nvflare/app_opt/p2p/executors/consensus.py    |   5 ++--
 .../executors/distributed_gradient_descent.py |  24 +++++-------------
 8 files changed, 13 insertions(+), 27 deletions(-)
 create mode 100644 examples/advanced/distributed_optimization/1-consensus/consensus.png

diff --git a/examples/advanced/distributed_optimization/1-consensus/README.md b/examples/advanced/distributed_optimization/1-consensus/README.md
index 114105c67b..1ae35540f2 100644
--- a/examples/advanced/distributed_optimization/1-consensus/README.md
+++ b/examples/advanced/distributed_optimization/1-consensus/README.md
@@ -1,2 +1,4 @@
 # Consensus algorithm
-In this example we show how to run the consensus algorithm. You can find a detailed walkthrough in the [tutorial](tutorial.ipynb) or you can just run the provided [script](launcher.py) via `python launcher.py`.
\ No newline at end of file
+In this example we show how to run the consensus algorithm. You can find a detailed walkthrough in the [tutorial](tutorial.ipynb) or you can just run the provided [script](launcher.py) via `python launcher.py`.
+
+![dgd](consensus.png)
diff --git a/examples/advanced/distributed_optimization/1-consensus/consensus.png b/examples/advanced/distributed_optimization/1-consensus/consensus.png
new file mode 100644
index 0000000000000000000000000000000000000000..a8bac4f57514e04cfd645afeef2dbb204b418100
GIT binary patch
literal 26714
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HcmV?d00001

diff --git a/examples/advanced/distributed_optimization/1-consensus/launcher.py b/examples/advanced/distributed_optimization/1-consensus/launcher.py
index ffd2bd6a6d..65f1eb5094 100644
--- a/examples/advanced/distributed_optimization/1-consensus/launcher.py
+++ b/examples/advanced/distributed_optimization/1-consensus/launcher.py
@@ -22,11 +22,6 @@
 from nvflare.app_opt.p2p.utils.config_generator import generate_random_network
 
 
-class CustomConsensusExecutor(ConsensusExecutor):
-    def __init__(self):
-        super().__init__(initial_value=random.randint(0, 10))
-
-
 if __name__ == "__main__":
     # Create job
     job = FedJob(name="consensus")
@@ -42,7 +37,7 @@ def __init__(self):
 
     # Add clients
     for i in range(num_clients):
-        executor = CustomConsensusExecutor()
+        executor = ConsensusExecutor(random.randint(0, 10))
         job.to(executor, f"site-{i + 1}")
 
     # run
diff --git a/examples/advanced/distributed_optimization/2-two_moons/dgd_results.png b/examples/advanced/distributed_optimization/2-two_moons/dgd_results.png
index 555aa9f3c7729cbd66eb8f64a6790e0c3fc1322d..0f95fc8d8529baffcaec2ad6545ce7d863415b37 100644
GIT binary patch
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zfsI|yPm2GAJjY)F4`?OJ}Ahl#8{jHZ8e
z!&G*6xk1?O>r1xlHp;S{mE{
zHuB*hEFD6FW4N(Vc^&GvmrPk%6@ICV+GuTU@t|)7%TX+
zwM29uW~2}RR4~($uuB+=6u3DwEOaa^xBzVCDNN7zh?XW*-v7`B3-nj{X6vQsMrukh
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zwd8206T6kTB4OPiurd08AZvP-<`JYEH(jYcw*+*n$R%jL1}%>ZgKwAYCX>s(Dz1j8z_p`Qgj7uD)5&UNt>0?0(s!R8Hc`b$Tt+AuC&{XR
zS`e_+$L`D5{yq5?n+Hlo;E#L!bT6p_>L494vQZ@9|LQj{QPjMG4
zf2^qD<_50)YhcP9W%Z$(x`vY%ep+3&n7k1Mau@#9Gcg<|uD%*}I_tzS9E`-06
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zf`?#{&6hYkq`;^|2dB8d5R~)6sM!}CWw|Nc^F#F
zbd4fUEUf*6fmG$agp04r9{dPsixwmM)ILv&P{4Nk!>L4jB6L?cFy5}2gWUtsVYWow
zf8l$PhDE|>L#eEtUL8%+I)RzSQj_{sZvyGGh=;khZZdGnRNN5v{q&fw$hJM6dP7HW
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zY!s=N@H>1y#8Ic#z_-t@a)748X3
Date: Fri, 31 Jan 2025 21:24:33 +0000
Subject: [PATCH 12/15] select device in executors

---
 .../2-two_moons/utils.py                      |  7 +--
 .../executors/distributed_gradient_descent.py | 39 +++++++++++---
 .../p2p/executors/gradient_tracking.py        | 53 ++++++++++++-------
 nvflare/app_opt/p2p/executors/gtadam.py       |  6 +--
 nvflare/app_opt/p2p/utils/metrics.py          | 18 +++----
 nvflare/app_opt/p2p/utils/utils.py            |  9 ++++
 6 files changed, 88 insertions(+), 44 deletions(-)
 create mode 100644 nvflare/app_opt/p2p/utils/utils.py

diff --git a/examples/advanced/distributed_optimization/2-two_moons/utils.py b/examples/advanced/distributed_optimization/2-two_moons/utils.py
index 02eccf6cd3..ecd6baf6bd 100644
--- a/examples/advanced/distributed_optimization/2-two_moons/utils.py
+++ b/examples/advanced/distributed_optimization/2-two_moons/utils.py
@@ -31,7 +31,7 @@ def __getitem__(self, idx):
 
 
 def get_dataloaders(data_seed:int):
-    X, y = make_moons(n_samples=100, noise=0.1, random_state=data_seed)
+    X, y = make_moons(n_samples=128, noise=0.1, random_state=data_seed)
 
     X_train = torch.from_numpy(X).float()
     y_train = torch.from_numpy(y).long()
@@ -45,7 +45,7 @@ def get_dataloaders(data_seed:int):
     test_dataset = TwoMoonsDataset(X_test, y_test)
 
     train_dataloader = DataLoader(train_dataset, batch_size=64, shuffle=True)
-    test_dataloader = DataLoader(test_dataset, batch_size=64)
+    test_dataloader = DataLoader(test_dataset, batch_size=20)
     return train_dataloader, test_dataloader
 
 
@@ -100,4 +100,5 @@ def plot_results(job, num_clients):
     axs[1].set_title("Evolution of Test Loss")
 
     plt.tight_layout()
-    plt.savefig(f"{job}_results.png")
\ No newline at end of file
+    plt.savefig(f"{job}_results.png")
+    plt.show()
\ No newline at end of file
diff --git a/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py b/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py
index 10f1373565..f9fb1c12b0 100644
--- a/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py
+++ b/nvflare/app_opt/p2p/executors/distributed_gradient_descent.py
@@ -19,6 +19,7 @@
 from nvflare.apis.dxo import from_shareable
 from nvflare.app_opt.p2p.executors.sync_executor import SyncAlgorithmExecutor
 from nvflare.app_opt.p2p.utils.metrics import compute_loss_over_dataset
+from nvflare.app_opt.p2p.utils.utils import get_device
 
 
 class DGDExecutor(SyncAlgorithmExecutor):
@@ -61,8 +62,9 @@ def __init__(
         val_dataloader: torch.utils.data.DataLoader | None = None,
     ):
         super().__init__()
-        self.model = model
-        self.loss = loss
+        self.device = get_device()
+        self.model = model.to(self.device)
+        self.loss = loss.to(self.device)
         self.train_dataloader = train_dataloader
         self.test_dataloader = test_dataloader
         self.val_dataloader = val_dataloader
@@ -82,37 +84,54 @@ def run_algorithm(self, fl_ctx, shareable, abort_signal):
 
             try:
                 data, label = next(iter_dataloader)
+                data, label = data.to(self.device), label.to(self.device)
             except StopIteration:
                 # 3. store metrics
                 current_time = time.time() - start_time
                 self.train_loss_sequence.append(
                     (
                         current_time,
-                        compute_loss_over_dataset(self.model, self.loss, self.train_dataloader),
+                        compute_loss_over_dataset(
+                            self.model,
+                            self.loss,
+                            self.train_dataloader,
+                            device=self.device,
+                        ),
                     )
                 )
                 self.test_loss_sequence.append(
                     (
                         current_time,
-                        compute_loss_over_dataset(self.model, self.loss, self.test_dataloader),
+                        compute_loss_over_dataset(
+                            self.model,
+                            self.loss,
+                            self.test_dataloader,
+                            device=self.device,
+                        ),
                     )
                 )
                 # restart after an epoch
                 iter_dataloader = iter(self.train_dataloader)
                 data, label = next(iter_dataloader)
+                data, label = data.to(self.device), label.to(self.device)
 
             # run algorithm step
             # 1. exchange values
             with torch.no_grad():
-                self._exchange_values(fl_ctx, value=self.model.parameters(), iteration=iteration)
+                self._exchange_values(
+                    fl_ctx, value=self.model.parameters(), iteration=iteration
+                )
 
                 # compute consensus value
                 for idx, param in enumerate(self.model.parameters()):
                     if param.requires_grad:
                         param.mul_(self._weight)
                         for neighbor in self.neighbors:
+                            neighbor_param = self.neighbors_values[iteration][
+                                neighbor.id
+                            ][idx].to(self.device)
                             param.add_(
-                                self.neighbors_values[iteration][neighbor.id][idx],
+                                neighbor_param,
                                 alpha=neighbor.weight,
                             )
             # 2. update current value
@@ -139,8 +158,12 @@ def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal):
         self._iterations = from_shareable(shareable).data["iterations"]
         self._stepsize = from_shareable(shareable).data["stepsize"]
 
-        init_train_loss = compute_loss_over_dataset(self.model, self.loss, self.train_dataloader)
-        init_test_loss = compute_loss_over_dataset(self.model, self.loss, self.test_dataloader)
+        init_train_loss = compute_loss_over_dataset(
+            self.model, self.loss, self.train_dataloader, device=self.device
+        )
+        init_test_loss = compute_loss_over_dataset(
+            self.model, self.loss, self.test_dataloader, device=self.device
+        )
 
         self.train_loss_sequence.append((0, init_train_loss))
         self.test_loss_sequence.append((0, init_test_loss))
diff --git a/nvflare/app_opt/p2p/executors/gradient_tracking.py b/nvflare/app_opt/p2p/executors/gradient_tracking.py
index 58061faa6d..8272ee1d34 100644
--- a/nvflare/app_opt/p2p/executors/gradient_tracking.py
+++ b/nvflare/app_opt/p2p/executors/gradient_tracking.py
@@ -19,6 +19,7 @@
 from nvflare.apis.dxo import from_shareable
 from nvflare.app_opt.p2p.executors.sync_executor import SyncAlgorithmExecutor
 from nvflare.app_opt.p2p.utils.metrics import compute_loss_over_dataset
+from nvflare.app_opt.p2p.utils.utils import get_device
 
 
 class GTExecutor(SyncAlgorithmExecutor):
@@ -28,8 +29,8 @@ class GTExecutor(SyncAlgorithmExecutor):
     at each iteration. The model parameters are updated based on the neighbors' parameters and local gradient descent steps.
     The executor also tracks and records training, validation and test losses over time.
 
-    The number of iterations and the learning rate must be provided by the controller when asing to run the algorithm. 
-    They can be set in the extra parameters of the controller's config with the "iterations" and "stepsize" keys. 
+    The number of iterations and the learning rate must be provided by the controller when asing to run the algorithm.
+    They can be set in the extra parameters of the controller's config with the "iterations" and "stepsize" keys.
 
     Note:
         Subclasses must implement the __init__ method to initialize the model, loss function, and data loaders.
@@ -50,6 +51,7 @@ class GTExecutor(SyncAlgorithmExecutor):
         train_loss_sequence (list[tuple]): Records of training loss over time.
         test_loss_sequence (list[tuple]): Records of testing loss over time.
     """
+
     @abstractmethod
     def __init__(
         self,
@@ -60,8 +62,9 @@ def __init__(
         val_dataloader: torch.utils.data.DataLoader | None = None,
     ):
         super().__init__()
-        self.model = model
-        self.loss = loss
+        self.device = get_device()
+        self.model = model.to(self.device)
+        self.loss = loss.to(self.device)
         self.train_dataloader = train_dataloader
         self.test_dataloader = test_dataloader
         self.val_dataloader = val_dataloader
@@ -81,6 +84,7 @@ def run_algorithm(self, fl_ctx, shareable, abort_signal):
 
             try:
                 data, label = next(iter_dataloader)
+                data, label = data.to(self.device), label.to(self.device)
             except StopIteration:
                 # 3. store metrics
                 current_time = time.time() - start_time
@@ -88,7 +92,7 @@ def run_algorithm(self, fl_ctx, shareable, abort_signal):
                     (
                         current_time,
                         compute_loss_over_dataset(
-                            self.model, self.loss, self.train_dataloader
+                            self.model, self.loss, self.train_dataloader, self.device
                         ),
                     )
                 )
@@ -96,13 +100,14 @@ def run_algorithm(self, fl_ctx, shareable, abort_signal):
                     (
                         current_time,
                         compute_loss_over_dataset(
-                            self.model, self.loss, self.test_dataloader
+                            self.model, self.loss, self.test_dataloader, self.device
                         ),
                     )
                 )
                 # restart after an epoch
                 iter_dataloader = iter(self.train_dataloader)
                 data, label = next(iter_dataloader)
+                data, label = data.to(self.device), label.to(self.device)
 
             # run algorithm step
             with torch.no_grad():
@@ -121,10 +126,11 @@ def run_algorithm(self, fl_ctx, shareable, abort_signal):
                     if param.requires_grad:
                         param.mul_(self._weight)
                         for neighbor in self.neighbors:
+                            neighbor_param = self.neighbors_values[iteration][
+                                neighbor.id
+                            ]["parameters"][idx].to(self.device)
                             param.add_(
-                                self.neighbors_values[iteration][neighbor.id][
-                                    "parameters"
-                                ][idx],
+                                neighbor_param,
                                 alpha=neighbor.weight,
                             )
 
@@ -136,10 +142,11 @@ def run_algorithm(self, fl_ctx, shareable, abort_signal):
                 for idx, tracker in enumerate(iter(self.tracker)):
                     tracker.mul_(self._weight)
                     for neighbor in self.neighbors:
+                        neighbor_tracker = self.neighbors_values[iteration][
+                            neighbor.id
+                        ]["tracker"][idx].to(self.device)
                         tracker.add_(
-                            self.neighbors_values[iteration][neighbor.id]["tracker"][
-                                idx
-                            ],
+                            neighbor_tracker,
                             alpha=neighbor.weight,
                         )
 
@@ -149,13 +156,15 @@ def run_algorithm(self, fl_ctx, shareable, abort_signal):
             loss = self.loss(pred, label)
             loss.backward()
 
-            gradient = [param.grad for param in self.model.parameters()]
+            gradient = [param.grad.clone() for param in self.model.parameters()]
 
             # - c. update tracker
-            for i in range(len(self.tracker)):
-                self.tracker[i] += gradient[i] - self.old_gradient[i]
+            with torch.no_grad():
+                for i in range(len(self.tracker)):
+                    self.tracker[i].add_(gradient[i], alpha=1.0)
+                    self.tracker[i].sub_(self.old_gradient[i], alpha=1.0)
 
-            self.old_gradient = gradient
+            self.old_gradient = [g.clone() for g in gradient]
 
             # 4. free memory that's no longer needed
             del self.neighbors_values[iteration]
@@ -183,10 +192,10 @@ def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal):
         self._stepsize = data["stepsize"]
 
         init_train_loss = compute_loss_over_dataset(
-            self.model, self.loss, self.train_dataloader
+            self.model, self.loss, self.train_dataloader, self.device
         )
         init_test_loss = compute_loss_over_dataset(
-            self.model, self.loss, self.test_dataloader
+            self.model, self.loss, self.test_dataloader, self.device
         )
 
         self.train_loss_sequence.append((0, init_train_loss))
@@ -194,9 +203,13 @@ def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal):
 
         # initialize tracker
         self.old_gradient = [
-            torch.zeros_like(param) for param in self.model.parameters()
+            torch.zeros_like(param, device=self.device)
+            for param in self.model.parameters()
+        ]
+        self.tracker = [
+            torch.zeros_like(param, device=self.device)
+            for param in self.model.parameters()
         ]
-        self.tracker = [torch.zeros_like(param) for param in self.model.parameters()]
 
     def _post_algorithm_run(self, *args, **kwargs):
         torch.save(torch.tensor(self.train_loss_sequence), "train_loss_sequence.pt")
diff --git a/nvflare/app_opt/p2p/executors/gtadam.py b/nvflare/app_opt/p2p/executors/gtadam.py
index 4383bf41a8..868c39479f 100644
--- a/nvflare/app_opt/p2p/executors/gtadam.py
+++ b/nvflare/app_opt/p2p/executors/gtadam.py
@@ -54,9 +54,9 @@ def _pre_algorithm_run(self, fl_ctx, shareable, abort_signal):
         self.beta1 = data["beta1"]
         self.beta2 = data["beta2"]
         self.epsilon = data["epsilon"]
-        self.G = torch.tensor(1e6)
-        self.m = [torch.zeros_like(param) for param in self.model.parameters()]
-        self.v = [torch.zeros_like(param) for param in self.model.parameters()]
+        self.G = torch.tensor(1e6, device=self.device)
+        self.m = [torch.zeros_like(param, device=self.device) for param in self.model.parameters()]
+        self.v = [torch.zeros_like(param, device=self.device) for param in self.model.parameters()]
 
     def _update_local_state(self, stepsize):
         for i in range(len(self.tracker)):
diff --git a/nvflare/app_opt/p2p/utils/metrics.py b/nvflare/app_opt/p2p/utils/metrics.py
index 7f9b1ee74c..f50240a439 100644
--- a/nvflare/app_opt/p2p/utils/metrics.py
+++ b/nvflare/app_opt/p2p/utils/metrics.py
@@ -17,6 +17,7 @@ def compute_loss_over_dataset(
     model: torch.nn.Module | None = None,
     loss: torch.nn.modules.loss._Loss | None = None,
     dataloader: torch.utils.data.DataLoader | None = None,
+    device: torch.device | None = None,
 ) -> float:
     """
     Compute the average loss over a dataset.
@@ -25,6 +26,7 @@ def compute_loss_over_dataset(
         model: The model to use for predictions.
         loss: The loss function to use.
         dataloader: The dataloader for the dataset.
+        device: The device to use for computation.
 
     Returns:
         The average loss over the dataset.
@@ -33,22 +35,18 @@ def compute_loss_over_dataset(
     if model is None or loss is None or dataloader is None:
         raise ValueError("All arguments (model, loss, dataloader) must be provided.")
 
+    model.eval()
     epoch_loss = 0
-    total_samples = 0
     with torch.no_grad():
         # Iterate over the dataloader
         for x, y in dataloader:
+            # Move data to the specified device
+            x, y = x.to(device), y.to(device)
             # Make predictions
             pred = model(x)
             # Compute the loss
             ls = loss(pred, y)
-            # Accumulate the loss and total samples
-            epoch_loss += ls.item()  # Get the scalar value of the loss
-            total_samples += 1
-
-    # Check if there are any samples in the dataset
-    if total_samples == 0:
-        raise ValueError("The dataset is empty.")
-
+            # Accumulate the loss 
+            epoch_loss += ls.item() * x.size(0)
     # Return the average loss
-    return epoch_loss / total_samples
+    return epoch_loss / len(dataloader.dataset)
diff --git a/nvflare/app_opt/p2p/utils/utils.py b/nvflare/app_opt/p2p/utils/utils.py
new file mode 100644
index 0000000000..a82bc6d05d
--- /dev/null
+++ b/nvflare/app_opt/p2p/utils/utils.py
@@ -0,0 +1,9 @@
+import torch
+
+def get_device():
+    if torch.cuda.is_available():
+        return torch.device("cuda")
+    elif torch.backends.mps.is_available():
+        return torch.device("mps")
+    else:
+        return torch.device("cpu")
\ No newline at end of file

From 2b09b0581295bf8fc07308c8dde36f5a88fe9fb1 Mon Sep 17 00:00:00 2001
From: Francesco Farina 
Date: Mon, 3 Feb 2025 10:15:59 +0000
Subject: [PATCH 13/15] renaming + parametric timout

---
 .../distributed_optimization/1-consensus/launcher.py |  4 ++--
 .../1-consensus/tutorial.ipynb                       |  4 ++--
 .../2-two_moons/launcher_dgd.py                      |  4 ++--
 .../2-two_moons/launcher_gt.py                       |  4 ++--
 .../2-two_moons/launcher_gtadam.py                   |  4 ++--
 .../distributed_optimization/3-mnist/launcher_dgd.py |  4 ++--
 .../distributed_optimization/3-mnist/launcher_gt.py  |  4 ++--
 .../3-mnist/launcher_gtadam.py                       |  4 ++--
 nvflare/app_opt/p2p/controllers/__init__.py          |  2 +-
 .../{p2p_controller.py => dist_opt_controller.py}    |  9 ++++-----
 nvflare/app_opt/p2p/executors/__init__.py            |  2 +-
 ...ase_p2p_executor.py => base_dist_opt_executor.py} |  8 ++++----
 nvflare/app_opt/p2p/executors/sync_executor.py       | 12 ++++++++----
 13 files changed, 34 insertions(+), 31 deletions(-)
 rename nvflare/app_opt/p2p/controllers/{p2p_controller.py => dist_opt_controller.py} (90%)
 rename nvflare/app_opt/p2p/executors/{base_p2p_executor.py => base_dist_opt_executor.py} (95%)

diff --git a/examples/advanced/distributed_optimization/1-consensus/launcher.py b/examples/advanced/distributed_optimization/1-consensus/launcher.py
index 65f1eb5094..4c7190ad3e 100644
--- a/examples/advanced/distributed_optimization/1-consensus/launcher.py
+++ b/examples/advanced/distributed_optimization/1-consensus/launcher.py
@@ -16,7 +16,7 @@
 import matplotlib.pyplot as plt
 from nvflare.job_config.api import FedJob
 
-from nvflare.app_opt.p2p.controllers import P2PAlgorithmController
+from nvflare.app_opt.p2p.controllers import DistOptController
 from nvflare.app_opt.p2p.executors import ConsensusExecutor
 from nvflare.app_opt.p2p.types import Config
 from nvflare.app_opt.p2p.utils.config_generator import generate_random_network
@@ -32,7 +32,7 @@
     config = Config(network=network, extra={"iterations": 50})
 
     # send controller to server
-    controller = P2PAlgorithmController(config=config)
+    controller = DistOptController(config=config)
     job.to_server(controller)
 
     # Add clients
diff --git a/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb b/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb
index 337562308e..2b0cbdd52e 100644
--- a/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb
+++ b/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb
@@ -157,13 +157,13 @@
    "source": [
     "from nvflare.job_config.api import FedJob\n",
     "from nvflare.app_opt.p2p.executors import ConsensusExecutor\n",
-    "from nvflare.app_opt.p2p.controllers import P2PAlgorithmController\n",
+    "from nvflare.app_opt.p2p.controllers import DistOptController\n",
     "\n",
     "# Create job\n",
     "job = FedJob(name=\"consensus\")\n",
     "\n",
     "# send controller to server\n",
-    "controller = P2PAlgorithmController(config=config)\n",
+    "controller = DistOptController(config=config)\n",
     "job.to_server(controller)\n",
     "\n",
     "# Add clients\n",
diff --git a/examples/advanced/distributed_optimization/2-two_moons/launcher_dgd.py b/examples/advanced/distributed_optimization/2-two_moons/launcher_dgd.py
index 5651f9ff95..49e1d99211 100644
--- a/examples/advanced/distributed_optimization/2-two_moons/launcher_dgd.py
+++ b/examples/advanced/distributed_optimization/2-two_moons/launcher_dgd.py
@@ -15,7 +15,7 @@
 from config import ITERATIONS, NUM_CLIENTS, STEPSIZE
 from utils import NeuralNetwork, get_dataloaders, plot_results
 
-from nvflare.app_opt.p2p.controllers import P2PAlgorithmController
+from nvflare.app_opt.p2p.controllers import DistOptController
 from nvflare.app_opt.p2p.executors import DGDExecutor
 from nvflare.app_opt.p2p.types import Config
 from nvflare.app_opt.p2p.utils.config_generator import generate_random_network
@@ -47,7 +47,7 @@ def __init__(self, data_seed: int | None = None):
     )
 
     # send controller to server
-    controller = P2PAlgorithmController(config=config)
+    controller = DistOptController(config=config)
     job.to_server(controller)
 
     # Add clients
diff --git a/examples/advanced/distributed_optimization/2-two_moons/launcher_gt.py b/examples/advanced/distributed_optimization/2-two_moons/launcher_gt.py
index 5d233f23d8..19b93d6e9e 100644
--- a/examples/advanced/distributed_optimization/2-two_moons/launcher_gt.py
+++ b/examples/advanced/distributed_optimization/2-two_moons/launcher_gt.py
@@ -15,7 +15,7 @@
 from config import ITERATIONS, NUM_CLIENTS, STEPSIZE
 from utils import NeuralNetwork, get_dataloaders, plot_results
 
-from nvflare.app_opt.p2p.controllers import P2PAlgorithmController
+from nvflare.app_opt.p2p.controllers import DistOptController
 from nvflare.app_opt.p2p.executors import GTExecutor
 from nvflare.app_opt.p2p.types import Config
 from nvflare.app_opt.p2p.utils.config_generator import generate_random_network
@@ -46,7 +46,7 @@ def __init__(self, data_seed: int | None = None):
     )
 
     # send controller to server
-    controller = P2PAlgorithmController(config=config)
+    controller = DistOptController(config=config)
     job.to_server(controller)
 
     # Add clients
diff --git a/examples/advanced/distributed_optimization/2-two_moons/launcher_gtadam.py b/examples/advanced/distributed_optimization/2-two_moons/launcher_gtadam.py
index ca2cc7b5cd..bbd4821498 100644
--- a/examples/advanced/distributed_optimization/2-two_moons/launcher_gtadam.py
+++ b/examples/advanced/distributed_optimization/2-two_moons/launcher_gtadam.py
@@ -15,7 +15,7 @@
 from config import ITERATIONS, NUM_CLIENTS, STEPSIZE
 from utils import NeuralNetwork, get_dataloaders, plot_results
 
-from nvflare.app_opt.p2p.controllers import P2PAlgorithmController
+from nvflare.app_opt.p2p.controllers import DistOptController
 from nvflare.app_opt.p2p.executors import GTADAMExecutor
 from nvflare.app_opt.p2p.types import Config
 from nvflare.app_opt.p2p.utils.config_generator import generate_random_network
@@ -52,7 +52,7 @@ def __init__(self, data_seed: int | None = None):
     )
 
     # send controller to server
-    controller = P2PAlgorithmController(config=config)
+    controller = DistOptController(config=config)
     job.to_server(controller)
 
     # Add clients
diff --git a/examples/advanced/distributed_optimization/3-mnist/launcher_dgd.py b/examples/advanced/distributed_optimization/3-mnist/launcher_dgd.py
index f7ad73d169..59fdfd1c9c 100644
--- a/examples/advanced/distributed_optimization/3-mnist/launcher_dgd.py
+++ b/examples/advanced/distributed_optimization/3-mnist/launcher_dgd.py
@@ -15,7 +15,7 @@
 from config import ITERATIONS, NUM_CLIENTS, STEPSIZE
 from utils import NeuralNetwork, get_dataloaders, plot_results
 
-from nvflare.app_opt.p2p.controllers import P2PAlgorithmController
+from nvflare.app_opt.p2p.controllers import DistOptController
 from nvflare.app_opt.p2p.executors import DGDExecutor
 from nvflare.app_opt.p2p.types import Config
 from nvflare.app_opt.p2p.utils.config_generator import generate_random_network
@@ -46,7 +46,7 @@ def __init__(self, data_chunk: int | None = None):
     )
 
     # send controller to server
-    controller = P2PAlgorithmController(config=config)
+    controller = DistOptController(config=config)
     job.to_server(controller)
 
     # Add clients
diff --git a/examples/advanced/distributed_optimization/3-mnist/launcher_gt.py b/examples/advanced/distributed_optimization/3-mnist/launcher_gt.py
index dbacfac2ab..593f617578 100644
--- a/examples/advanced/distributed_optimization/3-mnist/launcher_gt.py
+++ b/examples/advanced/distributed_optimization/3-mnist/launcher_gt.py
@@ -15,7 +15,7 @@
 from config import ITERATIONS, NUM_CLIENTS, STEPSIZE
 from utils import NeuralNetwork, get_dataloaders, plot_results
 
-from nvflare.app_opt.p2p.controllers import P2PAlgorithmController
+from nvflare.app_opt.p2p.controllers import DistOptController
 from nvflare.app_opt.p2p.executors import GTExecutor
 from nvflare.app_opt.p2p.types import Config
 from nvflare.app_opt.p2p.utils.config_generator import generate_random_network
@@ -43,7 +43,7 @@ def __init__(self, data_chunk: int | None = None):
     config = Config(network=network, extra={"iterations": ITERATIONS, "stepsize": STEPSIZE})
 
     # send controller to server
-    controller = P2PAlgorithmController(config=config)
+    controller = DistOptController(config=config)
     job.to_server(controller)
 
     # Add clients
diff --git a/examples/advanced/distributed_optimization/3-mnist/launcher_gtadam.py b/examples/advanced/distributed_optimization/3-mnist/launcher_gtadam.py
index ea0a81f052..5824d80af2 100644
--- a/examples/advanced/distributed_optimization/3-mnist/launcher_gtadam.py
+++ b/examples/advanced/distributed_optimization/3-mnist/launcher_gtadam.py
@@ -15,7 +15,7 @@
 from config import ITERATIONS, NUM_CLIENTS, STEPSIZE
 from utils import NeuralNetwork, get_dataloaders, plot_results
 
-from nvflare.app_opt.p2p.controllers import P2PAlgorithmController
+from nvflare.app_opt.p2p.controllers import DistOptController
 from nvflare.app_opt.p2p.executors import GTADAMExecutor
 from nvflare.app_opt.p2p.types import Config
 from nvflare.app_opt.p2p.utils.config_generator import generate_random_network
@@ -52,7 +52,7 @@ def __init__(self, data_chunk: int | None = None):
     )
 
     # send controller to server
-    controller = P2PAlgorithmController(config=config)
+    controller = DistOptController(config=config)
     job.to_server(controller)
 
     # Add clients
diff --git a/nvflare/app_opt/p2p/controllers/__init__.py b/nvflare/app_opt/p2p/controllers/__init__.py
index 9aefb0e937..9ebd02eda7 100644
--- a/nvflare/app_opt/p2p/controllers/__init__.py
+++ b/nvflare/app_opt/p2p/controllers/__init__.py
@@ -11,4 +11,4 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from .p2p_controller import P2PAlgorithmController # noqa
\ No newline at end of file
+from .dist_opt_controller import DistOptController # noqa
\ No newline at end of file
diff --git a/nvflare/app_opt/p2p/controllers/p2p_controller.py b/nvflare/app_opt/p2p/controllers/dist_opt_controller.py
similarity index 90%
rename from nvflare/app_opt/p2p/controllers/p2p_controller.py
rename to nvflare/app_opt/p2p/controllers/dist_opt_controller.py
index bfbced41c1..e46c077987 100644
--- a/nvflare/app_opt/p2p/controllers/p2p_controller.py
+++ b/nvflare/app_opt/p2p/controllers/dist_opt_controller.py
@@ -19,12 +19,11 @@
 from nvflare.app_opt.p2p.types import Config
 
 
-class P2PAlgorithmController(Controller):
-    """Controller for running a peer-to-peer (P2P) algorithm on a network.
+class DistOptController(Controller):
+    """Controller for running a peer-to-peer distributed optimization algorithm on a network.
 
-    This controller manages the execution of a P2P algorithm by configuring
-    each client with its neighbors and initiating the algorithm execution across
-    the network.
+    This controller manages the execution of a distributed optimization algorithm by configuring
+    each client with its neighbors and initiating the algorithm execution across the network.
 
     Args:
         config (Config): The P2P network configuration containing node and neighbor information.
diff --git a/nvflare/app_opt/p2p/executors/__init__.py b/nvflare/app_opt/p2p/executors/__init__.py
index 1d1aca0bd0..3907373056 100644
--- a/nvflare/app_opt/p2p/executors/__init__.py
+++ b/nvflare/app_opt/p2p/executors/__init__.py
@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from .base_p2p_executor import BaseP2PAlgorithmExecutor # noqa
+from .base_dist_opt_executor import BaseDistOptExecutor # noqa
 from .sync_executor import SyncAlgorithmExecutor # noqa
 from .consensus import ConsensusExecutor # noqa
 from .distributed_gradient_descent import DGDExecutor # noqa
diff --git a/nvflare/app_opt/p2p/executors/base_p2p_executor.py b/nvflare/app_opt/p2p/executors/base_dist_opt_executor.py
similarity index 95%
rename from nvflare/app_opt/p2p/executors/base_p2p_executor.py
rename to nvflare/app_opt/p2p/executors/base_dist_opt_executor.py
index 6929ed675b..20338b0f46 100644
--- a/nvflare/app_opt/p2p/executors/base_p2p_executor.py
+++ b/nvflare/app_opt/p2p/executors/base_dist_opt_executor.py
@@ -24,11 +24,11 @@
 from nvflare.app_opt.p2p.types import LocalConfig, Neighbor
 
 
-class BaseP2PAlgorithmExecutor(Executor, ABC):
-    """Base class for peer-to-peer (P2P) algorithm executors.
+class BaseDistOptExecutor(Executor, ABC):
+    """Base class for peer-to-peer distributed optimization algorithm executors.
 
-    This class provides the foundational structure for executors that run P2P algorithms
-    in a distributed/federated setting. It handles the configuration of the local network,
+    This class provides the foundational structure for executors that run P2P distributed 
+    optimization algorithms. It handles the configuration of the local network,
     execution flow based on tasks, and interaction with neighboring clients.
 
     Attributes:
diff --git a/nvflare/app_opt/p2p/executors/sync_executor.py b/nvflare/app_opt/p2p/executors/sync_executor.py
index 72002b33f2..ed40b4fdf2 100644
--- a/nvflare/app_opt/p2p/executors/sync_executor.py
+++ b/nvflare/app_opt/p2p/executors/sync_executor.py
@@ -19,27 +19,31 @@
 from nvflare.apis.fl_constant import ReturnCode
 from nvflare.apis.fl_context import FLContext
 from nvflare.apis.shareable import Shareable, make_reply
-from nvflare.app_opt.p2p.executors.base_p2p_executor import BaseP2PAlgorithmExecutor
+from nvflare.app_opt.p2p.executors.base_dist_opt_executor import BaseDistOptExecutor
 
 
-class SyncAlgorithmExecutor(BaseP2PAlgorithmExecutor):
+class SyncAlgorithmExecutor(BaseDistOptExecutor):
     """An executor to implement synchronous peer-to-peer (P2P) algorithms.
 
     This executor extends the BaseP2PAlgorithmExecutor to support synchronous execution
     of P2P algorithms. It manages the exchange of values with neighboring clients and ensures
     synchronization at each iteration.
 
+    Args:
+        sync_timeout (int): The timeout for waiting for values from neighbors. Defaults to 10 seconds.
+
     Attributes:
         neighbors_values (defaultdict): A dictionary to store values received from neighbors,
             keyed by iteration and neighbor ID.
         sync_waiter (threading.Event): An event to synchronize the exchange of values.
         lock (threading.Lock): A lock to manage concurrent access to shared data structures.
     """
-    def __init__(self):
+    def __init__(self, sync_timeout: int = 10):
         super().__init__()
 
         self.neighbors_values = defaultdict(dict)
 
+        self.sync_timeout = sync_timeout
         self.sync_waiter = threading.Event()
         self.lock = threading.Lock()
 
@@ -81,7 +85,7 @@ def _exchange_values(self, fl_ctx: FLContext, value: any, iteration: int):
         if len(self.neighbors_values[iteration]) < len(self.neighbors):
             # wait for all neighbors to send their values for the current iteration
             # if not received after timeout, abort the job
-            if not self.sync_waiter.wait(timeout=10):
+            if not self.sync_waiter.wait(timeout=self.sync_timeout):
                 self.system_panic("failed to receive values from all neighbors", fl_ctx)
                 return
 

From 4611c9157bc4ea337d41b6ab3b8b3acd34b3ddc9 Mon Sep 17 00:00:00 2001
From: Francesco Farina 
Date: Mon, 3 Feb 2025 10:51:33 +0000
Subject: [PATCH 14/15] rerun experiments

---
 .../1-consensus/tutorial.ipynb                | 962 +++++++++---------
 .../2-two_moons/dgd_results.png               | Bin 63688 -> 49949 bytes
 .../2-two_moons/gt_results.png                | Bin 63835 -> 50080 bytes
 .../2-two_moons/gtadam_results.png            | Bin 38833 -> 32604 bytes
 .../2-two_moons/utils.py                      |  10 +-
 .../distributed_optimization/3-mnist/utils.py |   3 +-
 6 files changed, 489 insertions(+), 486 deletions(-)

diff --git a/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb b/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb
index 2b0cbdd52e..1085f5da7f 100644
--- a/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb
+++ b/examples/advanced/distributed_optimization/1-consensus/tutorial.ipynb
@@ -68,29 +68,29 @@
        "
Config(\n",
        "    network=Network(\n",
        "        nodes=[\n",
-       "            Node(id='site-1', neighbors=[Neighbor(id='site-4', weight=0.3333333432674408)]),\n",
        "            Node(\n",
-       "                id='site-2',\n",
+       "                id='site-1',\n",
        "                neighbors=[\n",
-       "                    Neighbor(id='site-3', weight=0.3333333432674408),\n",
-       "                    Neighbor(id='site-5', weight=0.3333333432674408)\n",
+       "                    Neighbor(id='site-2', weight=0.3333333432674408),\n",
+       "                    Neighbor(id='site-4', weight=0.3333333432674408)\n",
        "                ]\n",
        "            ),\n",
-       "            Node(id='site-3', neighbors=[Neighbor(id='site-2', weight=0.3333333432674408)]),\n",
+       "            Node(id='site-2', neighbors=[Neighbor(id='site-1', weight=0.3333333432674408)]),\n",
        "            Node(\n",
-       "                id='site-4',\n",
+       "                id='site-3',\n",
        "                neighbors=[\n",
-       "                    Neighbor(id='site-1', weight=0.3333333432674408),\n",
+       "                    Neighbor(id='site-4', weight=0.3333333432674408),\n",
        "                    Neighbor(id='site-5', weight=0.3333333432674408)\n",
        "                ]\n",
        "            ),\n",
        "            Node(\n",
-       "                id='site-5',\n",
+       "                id='site-4',\n",
        "                neighbors=[\n",
-       "                    Neighbor(id='site-2', weight=0.3333333432674408),\n",
-       "                    Neighbor(id='site-4', weight=0.3333333432674408)\n",
+       "                    Neighbor(id='site-1', weight=0.3333333432674408),\n",
+       "                    Neighbor(id='site-3', weight=0.3333333432674408)\n",
        "                ]\n",
-       "            )\n",
+       "            ),\n",
+       "            Node(id='site-5', neighbors=[Neighbor(id='site-3', weight=0.3333333432674408)])\n",
        "        ]\n",
        "    ),\n",
        "    extra={'iterations': 50}\n",
@@ -101,29 +101,29 @@
        "\u001b[1;35mConfig\u001b[0m\u001b[1m(\u001b[0m\n",
        "    \u001b[33mnetwork\u001b[0m=\u001b[1;35mNetwork\u001b[0m\u001b[1m(\u001b[0m\n",
        "        \u001b[33mnodes\u001b[0m=\u001b[1m[\u001b[0m\n",
-       "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n",
        "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n",
-       "                \u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m,\n",
+       "                \u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m,\n",
        "                \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
        "                \u001b[1m]\u001b[0m\n",
        "            \u001b[1m)\u001b[0m,\n",
-       "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m,\n",
        "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n",
-       "                \u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m,\n",
+       "                \u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m,\n",
        "                \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m,\n",
        "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
        "                \u001b[1m]\u001b[0m\n",
        "            \u001b[1m)\u001b[0m,\n",
        "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\n",
-       "                \u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m,\n",
+       "                \u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m,\n",
        "                \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-2'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m,\n",
-       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-4'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-1'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m,\n",
+       "                    \u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\n",
        "                \u001b[1m]\u001b[0m\n",
-       "            \u001b[1m)\u001b[0m\n",
+       "            \u001b[1m)\u001b[0m,\n",
+       "            \u001b[1;35mNode\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-5'\u001b[0m, \u001b[33mneighbors\u001b[0m=\u001b[1m[\u001b[0m\u001b[1;35mNeighbor\u001b[0m\u001b[1m(\u001b[0m\u001b[33mid\u001b[0m=\u001b[32m'site-3'\u001b[0m, \u001b[33mweight\u001b[0m=\u001b[1;36m0\u001b[0m\u001b[1;36m.3333333432674408\u001b[0m\u001b[1m)\u001b[0m\u001b[1m]\u001b[0m\u001b[1m)\u001b[0m\n",
        "        \u001b[1m]\u001b[0m\n",
        "    \u001b[1m)\u001b[0m,\n",
        "    \u001b[33mextra\u001b[0m=\u001b[1m{\u001b[0m\u001b[32m'iterations'\u001b[0m: \u001b[1;36m50\u001b[0m\u001b[1m}\u001b[0m\n",
@@ -188,459 +188,459 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[38m2025-01-31 19:25:08,949 - SimulatorRunner - INFO - Create the Simulator Server.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:08,950 - CoreCell - INFO - server: creating listener on tcp://0:50296\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,065 - CoreCell - INFO - server: created backbone external listener for tcp://0:50296\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,065 - ConnectorManager - INFO - 2282: Try start_listener Listener resources: {'secure': False, 'host': 'localhost'}\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,066 - conn_manager - INFO - Connector [CH00002 PASSIVE tcp://0:56944] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,571 - CoreCell - INFO - server: created backbone internal listener for tcp://localhost:56944\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,573 - conn_manager - INFO - Connector [CH00001 PASSIVE tcp://0:50296] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,575 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,575 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,576 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,577 - SimulatorServer - INFO - max_reg_duration=60.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,633 - hci - INFO - Starting Admin Server localhost on Port 50297\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,633 - SimulatorRunner - INFO - Deploy the Apps.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,667 - SimulatorRunner - INFO - Create the simulate clients.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,667 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,668 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,673 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,674 - ClientManager - INFO - authenticated client site-1: client_fqcn='site-1'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,674 - ClientManager - INFO - Client: New client site-1@192.168.0.251 joined. Sent token: aa94d95a-7ab7-4fd4-b5e7-c63bec545ad0.  Total clients: 1\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,674 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,674 - FederatedClient - INFO - Successfully registered client:site-1 for project simulator_server. Token:aa94d95a-7ab7-4fd4-b5e7-c63bec545ad0 SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,674 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,674 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,674 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,675 - ClientManager - INFO - authenticated client site-2: client_fqcn='site-2'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,675 - ClientManager - INFO - Client: New client site-2@192.168.0.251 joined. Sent token: 11cddf2b-425e-4fa3-8bab-54604d5740b1.  Total clients: 2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,675 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,675 - FederatedClient - INFO - Successfully registered client:site-2 for project simulator_server. Token:11cddf2b-425e-4fa3-8bab-54604d5740b1 SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,675 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,675 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,675 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,676 - ClientManager - INFO - authenticated client site-3: client_fqcn='site-3'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,676 - ClientManager - INFO - Client: New client site-3@192.168.0.251 joined. Sent token: 8c2cb4f1-d813-416e-b80f-cdb358d07eb2.  Total clients: 3\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,676 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,676 - FederatedClient - INFO - Successfully registered client:site-3 for project simulator_server. Token:8c2cb4f1-d813-416e-b80f-cdb358d07eb2 SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,676 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,676 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,676 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,677 - ClientManager - INFO - authenticated client site-4: client_fqcn='site-4'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,677 - ClientManager - INFO - Client: New client site-4@192.168.0.251 joined. Sent token: 299ee1b8-90a4-472c-8de2-f583a724ef83.  Total clients: 4\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,677 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,677 - FederatedClient - INFO - Successfully registered client:site-4 for project simulator_server. Token:299ee1b8-90a4-472c-8de2-f583a724ef83 SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,677 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,677 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,677 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,678 - ClientManager - INFO - authenticated client site-5: client_fqcn='site-5'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,678 - ClientManager - INFO - Client: New client site-5@192.168.0.251 joined. Sent token: f93d8156-d096-4b6f-b5a4-5685d65d9291.  Total clients: 5\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,678 - Communicator - INFO - register RC: ok\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,678 - FederatedClient - INFO - Successfully registered client:site-5 for project simulator_server. Token:f93d8156-d096-4b6f-b5a4-5685d65d9291 SSID:\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,678 - SimulatorRunner - INFO - Set the client status ready.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,678 - SimulatorRunner - INFO - Deploy and start the Server App.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,678 - Cell - INFO - Register blob CB for channel='server_command', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,678 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,678 - ServerCommandAgent - INFO - ServerCommandAgent cell register_request_cb: server.simulate_job\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic __sync_runner__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic __job_heartbeat__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic __task_check__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,688 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,688 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,689 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - Server runner starting ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,689 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,689 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - starting workflow controller () ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,689 - P2PAlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - P2PAlgorithmController started\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,689 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow controller () started\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:09,689 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:10,684 - SimulatorClientRunner - INFO - Start the clients run simulation.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:11,686 - SimulatorClientRunner - INFO - Simulate Run client: site-1 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:11,687 - SimulatorClientRunner - INFO - Simulate Run client: site-2 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:11,688 - SimulatorClientRunner - INFO - Simulate Run client: site-3 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:11,689 - SimulatorClientRunner - INFO - Simulate Run client: site-4 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:11,691 - SimulatorClientRunner - INFO - Simulate Run client: site-5 on GPU group: None\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,725 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,726 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,726 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,728 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,728 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-5.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-4.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-2.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-3.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,791 - CoreCell - INFO - site-1.simulate_job: created backbone external connector to tcp://localhost:50296\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,792 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:50296] is starting\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50323 => 127.0.0.1:50296] is created: PID: 2298\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50322 => 127.0.0.1:50296] is created: PID: 2294\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50326 => 127.0.0.1:50296] is created: PID: 2295\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50325 => 127.0.0.1:50296] is created: PID: 2296\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00002 127.0.0.1:50324 => 127.0.0.1:50296] is created: PID: 2297\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,793 - conn_manager - INFO - Connection [CN00008 127.0.0.1:50296 <= 127.0.0.1:50323] is created: PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,794 - conn_manager - INFO - Connection [CN00009 127.0.0.1:50296 <= 127.0.0.1:50322] is created: PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,794 - conn_manager - INFO - Connection [CN00010 127.0.0.1:50296 <= 127.0.0.1:50326] is created: PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,794 - conn_manager - INFO - Connection [CN00011 127.0.0.1:50296 <= 127.0.0.1:50325] is created: PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,795 - conn_manager - INFO - Connection [CN00012 127.0.0.1:50296 <= 127.0.0.1:50324] is created: PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,896 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,897 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,898 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,898 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:12,898 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,639 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,639 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,639 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,640 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:13,641 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,157 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - synced to Server Runner in 0.513002872467041 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,157 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,157 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,157 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,158 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,158 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - synced to Server Runner in 0.5145540237426758 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,158 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,158 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,158 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,158 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-3\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,158 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,158 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,158 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - synced to Server Runner in 0.515538215637207 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - synced to Server Runner in 0.5153059959411621 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - synced to Server Runner in 0.5155537128448486 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-1\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,159 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,160 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,160 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,160 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,160 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-5\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,160 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,161 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,161 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - client runner started\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,161 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-4\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,161 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - assigned task to client site-1: name=config, id=e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,162 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - sent task assignment to client. client_name:site-1 task_id:e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,163 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: config   task_id: e20ea295-ee1b-414e-a0ac-cf038aff2e98  sharable_header_task_id: e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,164 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.004675 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,164 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,165 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,165 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,165 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,165 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,166 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,168 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,168 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,169 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=config, id=e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,169 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,169 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1   task_id:e20ea295-ee1b-414e-a0ac-cf038aff2e98\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,170 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.001849 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,170 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=e20ea295-ee1b-414e-a0ac-cf038aff2e98] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,170 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,170 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,373 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,671 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - assigned task to client site-2: name=config, id=6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,672 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - sent task assignment to client. client_name:site-2 task_id:6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,673 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: config   task_id: 6137abaa-7a6b-41fa-bf99-75691d0552d4  sharable_header_task_id: 6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,675 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.005403 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,675 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,676 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,676 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,676 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,676 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,677 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,679 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,680 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,680 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=config, id=6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,681 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,681 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2   task_id:6137abaa-7a6b-41fa-bf99-75691d0552d4\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,682 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.001925 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,682 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=6137abaa-7a6b-41fa-bf99-75691d0552d4] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,682 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,780 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:14,780 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,173 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - assigned task to client site-3: name=config, id=8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,174 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - sent task assignment to client. client_name:site-3 task_id:8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,175 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: config   task_id: 8023ae42-9d50-4551-b941-996930fd80c2  sharable_header_task_id: 8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,177 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.008376 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,178 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,178 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,179 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,179 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,180 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,180 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,187 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,188 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,189 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=config, id=8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,189 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,190 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3   task_id:8023ae42-9d50-4551-b941-996930fd80c2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,191 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,191 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.002746 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,191 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8023ae42-9d50-4551-b941-996930fd80c2] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,191 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:15,390 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,191 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - assigned task to client site-4: name=config, id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,191 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - sent task assignment to client. client_name:site-4 task_id:8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,191 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: config   task_id: 8ebcd861-20ac-49a2-8af1-59c6f1dc0408  sharable_header_task_id: 8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,192 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.002734 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,193 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,193 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,193 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,193 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,193 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,194 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,196 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,196 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,197 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=config, id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,197 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,198 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4   task_id:8ebcd861-20ac-49a2-8af1-59c6f1dc0408\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,199 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.002651 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,199 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=8ebcd861-20ac-49a2-8af1-59c6f1dc0408] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,199 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,230 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,429 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,707 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - assigned task to client site-5: name=config, id=418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,709 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - sent task assignment to client. client_name:site-5 task_id:418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,710 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: config   task_id: 418f0f0d-8540-424d-a432-566d8a4c96bf  sharable_header_task_id: 418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,712 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.011580 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,712 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,712 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,713 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,714 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,714 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,714 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,719 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,719 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,721 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=config, id=418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,721 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,721 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5   task_id:418f0f0d-8540-424d-a432-566d8a4c96bf\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,722 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.003091 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,722 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=418f0f0d-8540-424d-a432-566d8a4c96bf] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,723 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,838 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:17,840 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task run_algorithm\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:18,218 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - assigned task to client site-3: name=run_algorithm, id=c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:18,218 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - sent task assignment to client. client_name:site-3 task_id:c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:18,219 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: run_algorithm   task_id: c2a1cb67-6602-48b1-85bf-914887b44a05  sharable_header_task_id: c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:18,221 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.006713 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:18,221 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:18,221 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:18,222 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,204 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - assigned task to client site-4: name=run_algorithm, id=01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,205 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - sent task assignment to client. client_name:site-4 task_id:01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,205 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: run_algorithm   task_id: 01ff5afb-adc5-4814-93ff-60de220be502  sharable_header_task_id: 01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,206 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - assigned task to client site-1: name=run_algorithm, id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,206 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.003966 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,206 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - sent task assignment to client. client_name:site-1 task_id:d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,207 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: run_algorithm   task_id: d87f7a9d-bd7a-489a-8e9a-1084ba7e4937  sharable_header_task_id: d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,207 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,207 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,207 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,207 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.005148 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,208 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,208 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,208 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,717 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - assigned task to client site-2: name=run_algorithm, id=13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,718 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - sent task assignment to client. client_name:site-2 task_id:13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,718 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: run_algorithm   task_id: 13d25962-cc41-4d1f-b591-9712f8dad70d  sharable_header_task_id: 13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,719 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.002432 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,719 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,719 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,719 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,729 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - assigned task to client site-5: name=run_algorithm, id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,730 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - sent task assignment to client. client_name:site-5 task_id:07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,730 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: run_algorithm   task_id: 07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2  sharable_header_task_id: 07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,730 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.001971 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,731 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,731 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,731 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - invoking task executor ConsensusExecutor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,858 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,859 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,859 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,859 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,859 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - finished processing task\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - try #1: sending task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,860 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - checking task ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,861 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,861 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,861 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,861 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,861 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,862 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,862 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=run_algorithm, id=c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,862 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,862 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,862 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - start to send task result to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,862 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=run_algorithm, id=13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,863 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,863 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,863 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=run_algorithm, id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,863 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3   task_id:c2a1cb67-6602-48b1-85bf-914887b44a05\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,863 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=run_algorithm, id=01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,864 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=run_algorithm, id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,864 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,864 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2   task_id:13d25962-cc41-4d1f-b591-9712f8dad70d\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,864 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003372 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,864 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=c2a1cb67-6602-48b1-85bf-914887b44a05] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,864 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,864 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,864 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1   task_id:d87f7a9d-bd7a-489a-8e9a-1084ba7e4937\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,864 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003169 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=13d25962-cc41-4d1f-b591-9712f8dad70d] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003251 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4   task_id:01ff5afb-adc5-4814-93ff-60de220be502\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=d87f7a9d-bd7a-489a-8e9a-1084ba7e4937] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - finished processing client result by controller\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5   task_id:07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,865 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003074 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,866 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=01ff5afb-adc5-4814-93ff-60de220be502] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,866 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,866 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003156 seconds\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,866 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=07c4a4c8-0ad5-44e1-9315-f1d1278f7cc2] - task result sent to server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,866 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:19,888 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task run_algorithm exit with status TaskCompletionStatus.OK\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,089 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow: controller finalizing ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,089 - P2PAlgorithmController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - P2PAlgorithmController stopped\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,090 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,092 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,093 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,093 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,093 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,093 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,094 - ReliableMessage - INFO - ReliableMessage is shutdown\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,094 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,094 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,094 - ObjectStreamer - INFO - Stream Runer is Shut Down\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:20,094 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Server runner finished.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,706 - SimulatorServer - INFO - Server app stopped.\n",
+      "\u001b[38m2025-02-03 10:22:52,438 - SimulatorRunner - INFO - Create the Simulator Server.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:52,439 - CoreCell - INFO - server: creating listener on tcp://0:55189\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:52,633 - CoreCell - INFO - server: created backbone external listener for tcp://0:55189\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:52,633 - ConnectorManager - INFO - 15299: Try start_listener Listener resources: {'secure': False, 'host': 'localhost'}\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:52,634 - conn_manager - INFO - Connector [CH00002 PASSIVE tcp://0:16697] is starting\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,139 - CoreCell - INFO - server: created backbone internal listener for tcp://localhost:16697\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,139 - conn_manager - INFO - Connector [CH00001 PASSIVE tcp://0:55189] is starting\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,140 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,140 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,141 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,141 - SimulatorServer - INFO - max_reg_duration=60.0\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,188 - hci - INFO - Starting Admin Server localhost on Port 55190\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,188 - SimulatorRunner - INFO - Deploy the Apps.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,230 - SimulatorRunner - INFO - Create the simulate clients.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,231 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,231 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,237 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,238 - ClientManager - INFO - authenticated client site-1: client_fqcn='site-1'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,238 - ClientManager - INFO - Client: New client site-1@192.168.0.251 joined. Sent token: 4118e4ff-7abe-4afa-9d1c-f60a8ce067f3.  Total clients: 1\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,238 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,238 - FederatedClient - INFO - Successfully registered client:site-1 for project simulator_server. Token:4118e4ff-7abe-4afa-9d1c-f60a8ce067f3 SSID:\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,239 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,239 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,239 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,240 - ClientManager - INFO - authenticated client site-2: client_fqcn='site-2'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,240 - ClientManager - INFO - Client: New client site-2@192.168.0.251 joined. Sent token: 94cc054d-13c8-4ab1-b1c4-61fa33f6753d.  Total clients: 2\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,240 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,240 - FederatedClient - INFO - Successfully registered client:site-2 for project simulator_server. Token:94cc054d-13c8-4ab1-b1c4-61fa33f6753d SSID:\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,241 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,241 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,241 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,242 - ClientManager - INFO - authenticated client site-3: client_fqcn='site-3'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,242 - ClientManager - INFO - Client: New client site-3@192.168.0.251 joined. Sent token: c4764ab1-0ca6-478a-a3a0-0d24c4ea3c4e.  Total clients: 3\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,242 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,242 - FederatedClient - INFO - Successfully registered client:site-3 for project simulator_server. Token:c4764ab1-0ca6-478a-a3a0-0d24c4ea3c4e SSID:\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,242 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,242 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,243 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,243 - ClientManager - INFO - authenticated client site-4: client_fqcn='site-4'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,243 - ClientManager - INFO - Client: New client site-4@192.168.0.251 joined. Sent token: a3ff8cfc-05f9-4fbd-9afa-590652798c7e.  Total clients: 4\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,243 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,243 - FederatedClient - INFO - Successfully registered client:site-4 for project simulator_server. Token:a3ff8cfc-05f9-4fbd-9afa-590652798c7e SSID:\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,243 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,243 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,243 - Communicator - INFO - Trying to register with server ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,244 - ClientManager - INFO - authenticated client site-5: client_fqcn='site-5'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,244 - ClientManager - INFO - Client: New client site-5@192.168.0.251 joined. Sent token: ea899d30-af22-4660-bab5-c8b6e18d62fe.  Total clients: 5\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,244 - Communicator - INFO - register RC: ok\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,244 - FederatedClient - INFO - Successfully registered client:site-5 for project simulator_server. Token:ea899d30-af22-4660-bab5-c8b6e18d62fe SSID:\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,244 - SimulatorRunner - INFO - Set the client status ready.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,244 - SimulatorRunner - INFO - Deploy and start the Server App.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,244 - Cell - INFO - Register blob CB for channel='server_command', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,244 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,244 - ServerCommandAgent - INFO - ServerCommandAgent cell register_request_cb: server.simulate_job\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,258 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,258 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,259 - AuxRunner - INFO - registered aux handler for topic __sync_runner__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,259 - AuxRunner - INFO - registered aux handler for topic __job_heartbeat__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,259 - AuxRunner - INFO - registered aux handler for topic __task_check__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,259 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,259 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,259 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,259 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - Server runner starting ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,259 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,260 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job] - starting workflow controller () ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,260 - DistOptController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - P2PAlgorithmController started\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,260 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow controller () started\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:53,260 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:54,247 - SimulatorClientRunner - INFO - Start the clients run simulation.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:55,250 - SimulatorClientRunner - INFO - Simulate Run client: site-1 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:55,250 - SimulatorClientRunner - INFO - Simulate Run client: site-2 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:55,250 - SimulatorClientRunner - INFO - Simulate Run client: site-3 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:55,255 - SimulatorClientRunner - INFO - Simulate Run client: site-4 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:55,261 - SimulatorClientRunner - INFO - Simulate Run client: site-5 on GPU group: None\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,278 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,279 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,279 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,280 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,283 - ClientTaskWorker - INFO - ClientTaskWorker started to run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,365 - CoreCell - INFO - site-4.simulate_job: created backbone external connector to tcp://localhost:55189\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,365 - CoreCell - INFO - site-3.simulate_job: created backbone external connector to tcp://localhost:55189\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,366 - CoreCell - INFO - site-5.simulate_job: created backbone external connector to tcp://localhost:55189\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,366 - CoreCell - INFO - site-2.simulate_job: created backbone external connector to tcp://localhost:55189\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,366 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:55189] is starting\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,366 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:55189] is starting\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,366 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:55189] is starting\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,366 - CoreCell - INFO - site-1.simulate_job: created backbone external connector to tcp://localhost:55189\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,366 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:55189] is starting\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,366 - conn_manager - INFO - Connector [CH00001 ACTIVE tcp://localhost:55189] is starting\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,367 - conn_manager - INFO - Connection [CN00002 127.0.0.1:55217 => 127.0.0.1:55189] is created: PID: 15317\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,367 - conn_manager - INFO - Connection [CN00002 127.0.0.1:55214 => 127.0.0.1:55189] is created: PID: 15316\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,367 - conn_manager - INFO - Connection [CN00002 127.0.0.1:55218 => 127.0.0.1:55189] is created: PID: 15319\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,367 - conn_manager - INFO - Connection [CN00002 127.0.0.1:55215 => 127.0.0.1:55189] is created: PID: 15318\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,367 - conn_manager - INFO - Connection [CN00002 127.0.0.1:55216 => 127.0.0.1:55189] is created: PID: 15320\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,368 - conn_manager - INFO - Connection [CN00008 127.0.0.1:55189 <= 127.0.0.1:55217] is created: PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,369 - conn_manager - INFO - Connection [CN00009 127.0.0.1:55189 <= 127.0.0.1:55214] is created: PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,369 - conn_manager - INFO - Connection [CN00010 127.0.0.1:55189 <= 127.0.0.1:55218] is created: PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,369 - conn_manager - INFO - Connection [CN00011 127.0.0.1:55189 <= 127.0.0.1:55215] is created: PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,370 - conn_manager - INFO - Connection [CN00012 127.0.0.1:55189 <= 127.0.0.1:55216] is created: PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,468 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,468 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,469 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,469 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,470 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,471 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,471 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,471 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,471 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:56,471 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Request\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,322 - AuxRunner - INFO - registered aux handler for topic ObjectStreamer.Abort\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __end_run__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - AuxRunner - INFO - registered aux handler for topic __do_task__\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,323 - Cell - INFO - Register blob CB for channel='aux_communication', topic='*'\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,831 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - synced to Server Runner in 0.506201982498169 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - synced to Server Runner in 0.5069057941436768 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - synced to Server Runner in 0.5071201324462891 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-5\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,832 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-4\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-3\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - synced to Server Runner in 0.5078608989715576 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - synced to Server Runner in 0.5078649520874023 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REQUEST\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,833 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - AuxRunner - INFO - registered aux handler for topic RM.RELIABLE_REPLY\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - ReliableMessage - INFO - enabled reliable message: max_request_workers=20 query_interval=2.0\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - AuxRunner - INFO - registered aux handler for topic send_value\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-2\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - AuxRunner - INFO - registered aux handler for topic fed.event\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - client runner started\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,834 - ClientTaskWorker - INFO - Initialize ClientRunner for client: site-1\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,836 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c] - assigned task to client site-1: name=config, id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,837 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=config, task_id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c] - sent task assignment to client. client_name:site-1 task_id:58b0e0a5-eae9-4c65-b3ce-38d620cfc39c\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,837 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: config   task_id: 58b0e0a5-eae9-4c65-b3ce-38d620cfc39c  sharable_header_task_id: 58b0e0a5-eae9-4c65-b3ce-38d620cfc39c\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,838 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.003995 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,838 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,838 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,839 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,839 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,839 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,839 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,841 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,841 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,842 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=config, id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,842 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,842 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1   task_id:58b0e0a5-eae9-4c65-b3ce-38d620cfc39c\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,842 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.001474 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,842 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=58b0e0a5-eae9-4c65-b3ce-38d620cfc39c] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,843 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,942 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:57,944 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,348 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e] - assigned task to client site-2: name=config, id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,348 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=config, task_id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e] - sent task assignment to client. client_name:site-2 task_id:3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,349 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: config   task_id: 3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e  sharable_header_task_id: 3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,351 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.009205 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,352 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,352 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,352 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,353 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,353 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,353 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,358 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,358 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,359 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=config, id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,360 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,360 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2   task_id:3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,361 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.002935 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,361 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=3b6a97b5-7ef4-4b0e-bff4-f305bfa6e69e] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,361 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,552 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,553 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,852 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=60862047-5450-4653-a6a9-5ba74fa83953] - assigned task to client site-3: name=config, id=60862047-5450-4653-a6a9-5ba74fa83953\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,854 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=config, task_id=60862047-5450-4653-a6a9-5ba74fa83953] - sent task assignment to client. client_name:site-3 task_id:60862047-5450-4653-a6a9-5ba74fa83953\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,855 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: config   task_id: 60862047-5450-4653-a6a9-5ba74fa83953  sharable_header_task_id: 60862047-5450-4653-a6a9-5ba74fa83953\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,858 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.009255 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,859 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,859 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=60862047-5450-4653-a6a9-5ba74fa83953\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,859 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=60862047-5450-4653-a6a9-5ba74fa83953] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,860 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=60862047-5450-4653-a6a9-5ba74fa83953] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,860 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=60862047-5450-4653-a6a9-5ba74fa83953] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,860 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=60862047-5450-4653-a6a9-5ba74fa83953] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,866 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=60862047-5450-4653-a6a9-5ba74fa83953] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,866 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,868 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=config, id=60862047-5450-4653-a6a9-5ba74fa83953\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,868 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=60862047-5450-4653-a6a9-5ba74fa83953] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,868 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3   task_id:60862047-5450-4653-a6a9-5ba74fa83953\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,869 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.003179 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,870 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=60862047-5450-4653-a6a9-5ba74fa83953] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,870 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,959 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:22:58,962 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,864 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=06c011e8-6aee-4711-8593-c7812434da85] - assigned task to client site-4: name=config, id=06c011e8-6aee-4711-8593-c7812434da85\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,864 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=config, task_id=06c011e8-6aee-4711-8593-c7812434da85] - sent task assignment to client. client_name:site-4 task_id:06c011e8-6aee-4711-8593-c7812434da85\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,865 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: config   task_id: 06c011e8-6aee-4711-8593-c7812434da85  sharable_header_task_id: 06c011e8-6aee-4711-8593-c7812434da85\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,866 - Communicator - INFO - Received from simulator_server server. getTask: config size: 728B (728 Bytes) time: 0.003766 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,866 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,866 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=06c011e8-6aee-4711-8593-c7812434da85\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,867 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=06c011e8-6aee-4711-8593-c7812434da85] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,867 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=06c011e8-6aee-4711-8593-c7812434da85] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,867 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=06c011e8-6aee-4711-8593-c7812434da85] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,867 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=06c011e8-6aee-4711-8593-c7812434da85] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,870 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=06c011e8-6aee-4711-8593-c7812434da85] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,870 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,871 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=config, id=06c011e8-6aee-4711-8593-c7812434da85\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,871 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=06c011e8-6aee-4711-8593-c7812434da85] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,871 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4   task_id:06c011e8-6aee-4711-8593-c7812434da85\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,872 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.002201 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,872 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=06c011e8-6aee-4711-8593-c7812434da85] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,873 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:00,995 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,003 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task config\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,372 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=346019d9-5f73-4e6e-807d-b27d2b99e45d] - assigned task to client site-5: name=config, id=346019d9-5f73-4e6e-807d-b27d2b99e45d\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,373 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=config, task_id=346019d9-5f73-4e6e-807d-b27d2b99e45d] - sent task assignment to client. client_name:site-5 task_id:346019d9-5f73-4e6e-807d-b27d2b99e45d\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,373 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: config   task_id: 346019d9-5f73-4e6e-807d-b27d2b99e45d  sharable_header_task_id: 346019d9-5f73-4e6e-807d-b27d2b99e45d\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,378 - Communicator - INFO - Received from simulator_server server. getTask: config size: 701B (701 Bytes) time: 0.008450 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,378 - FederatedClient - INFO - pull_task completed. Task name:config Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,379 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=config, id=346019d9-5f73-4e6e-807d-b27d2b99e45d\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,380 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=346019d9-5f73-4e6e-807d-b27d2b99e45d] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,380 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=346019d9-5f73-4e6e-807d-b27d2b99e45d] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,381 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=346019d9-5f73-4e6e-807d-b27d2b99e45d] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,381 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=346019d9-5f73-4e6e-807d-b27d2b99e45d] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,386 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=346019d9-5f73-4e6e-807d-b27d2b99e45d] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,386 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,388 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=config, id=346019d9-5f73-4e6e-807d-b27d2b99e45d\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,389 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=config, task_id=346019d9-5f73-4e6e-807d-b27d2b99e45d] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,389 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5   task_id:346019d9-5f73-4e6e-807d-b27d2b99e45d\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,390 - Communicator - INFO -  SubmitUpdate size: 606B (606 Bytes). time: 0.004067 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,390 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=config, task_id=346019d9-5f73-4e6e-807d-b27d2b99e45d] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,391 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,403 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task config exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,406 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - scheduled task run_algorithm\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,884 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469] - assigned task to client site-3: name=run_algorithm, id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,884 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, task_name=run_algorithm, task_id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469] - sent task assignment to client. client_name:site-3 task_id:37ae4da3-16fd-4e8c-b7d6-c95eaef20469\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,885 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: run_algorithm   task_id: 37ae4da3-16fd-4e8c-b7d6-c95eaef20469  sharable_header_task_id: 37ae4da3-16fd-4e8c-b7d6-c95eaef20469\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,888 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.006691 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,888 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,889 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:01,889 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,873 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=117b3e94-ce69-49af-9188-61f141252bc4] - assigned task to client site-1: name=run_algorithm, id=117b3e94-ce69-49af-9188-61f141252bc4\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,874 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, task_name=run_algorithm, task_id=117b3e94-ce69-49af-9188-61f141252bc4] - sent task assignment to client. client_name:site-1 task_id:117b3e94-ce69-49af-9188-61f141252bc4\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,875 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: run_algorithm   task_id: 117b3e94-ce69-49af-9188-61f141252bc4  sharable_header_task_id: 117b3e94-ce69-49af-9188-61f141252bc4\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,876 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.006367 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,877 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,877 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=035682b1-7197-4165-8faf-dbbb1c151a97] - assigned task to client site-4: name=run_algorithm, id=035682b1-7197-4165-8faf-dbbb1c151a97\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,877 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=117b3e94-ce69-49af-9188-61f141252bc4\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,878 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, task_name=run_algorithm, task_id=035682b1-7197-4165-8faf-dbbb1c151a97] - sent task assignment to client. client_name:site-4 task_id:035682b1-7197-4165-8faf-dbbb1c151a97\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,879 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=117b3e94-ce69-49af-9188-61f141252bc4] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,879 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: run_algorithm   task_id: 035682b1-7197-4165-8faf-dbbb1c151a97  sharable_header_task_id: 035682b1-7197-4165-8faf-dbbb1c151a97\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,881 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.005837 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,882 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,882 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=035682b1-7197-4165-8faf-dbbb1c151a97\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:02,884 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=035682b1-7197-4165-8faf-dbbb1c151a97] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,394 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=0117fb75-76e2-4e60-8f23-3adee42b0a38] - assigned task to client site-2: name=run_algorithm, id=0117fb75-76e2-4e60-8f23-3adee42b0a38\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,395 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, task_name=run_algorithm, task_id=0117fb75-76e2-4e60-8f23-3adee42b0a38] - sent task assignment to client. client_name:site-2 task_id:0117fb75-76e2-4e60-8f23-3adee42b0a38\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,395 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: run_algorithm   task_id: 0117fb75-76e2-4e60-8f23-3adee42b0a38  sharable_header_task_id: 0117fb75-76e2-4e60-8f23-3adee42b0a38\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,398 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.007840 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,398 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=2a786117-6736-4998-97cc-27b5afe05547] - assigned task to client site-5: name=run_algorithm, id=2a786117-6736-4998-97cc-27b5afe05547\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,399 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,399 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, task_name=run_algorithm, task_id=2a786117-6736-4998-97cc-27b5afe05547] - sent task assignment to client. client_name:site-5 task_id:2a786117-6736-4998-97cc-27b5afe05547\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,399 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=0117fb75-76e2-4e60-8f23-3adee42b0a38\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,399 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: run_algorithm   task_id: 2a786117-6736-4998-97cc-27b5afe05547  sharable_header_task_id: 2a786117-6736-4998-97cc-27b5afe05547\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,399 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=0117fb75-76e2-4e60-8f23-3adee42b0a38] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,401 - Communicator - INFO - Received from simulator_server server. getTask: run_algorithm size: 689B (689 Bytes) time: 0.005055 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,401 - FederatedClient - INFO - pull_task completed. Task name:run_algorithm Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,402 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - got task assignment: name=run_algorithm, id=2a786117-6736-4998-97cc-27b5afe05547\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,402 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=2a786117-6736-4998-97cc-27b5afe05547] - invoking task executor ConsensusExecutor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=2a786117-6736-4998-97cc-27b5afe05547] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,562 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=0117fb75-76e2-4e60-8f23-3adee42b0a38] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,562 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=035682b1-7197-4165-8faf-dbbb1c151a97] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,562 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=117b3e94-ce69-49af-9188-61f141252bc4] - finished processing task\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=035682b1-7197-4165-8faf-dbbb1c151a97] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=0117fb75-76e2-4e60-8f23-3adee42b0a38] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=035682b1-7197-4165-8faf-dbbb1c151a97] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=0117fb75-76e2-4e60-8f23-3adee42b0a38] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=2a786117-6736-4998-97cc-27b5afe05547] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=117b3e94-ce69-49af-9188-61f141252bc4] - try #1: sending task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=117b3e94-ce69-49af-9188-61f141252bc4] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,563 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=2a786117-6736-4998-97cc-27b5afe05547] - checking task ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,565 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=117b3e94-ce69-49af-9188-61f141252bc4] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,565 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,567 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,567 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,567 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=0117fb75-76e2-4e60-8f23-3adee42b0a38] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,567 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,567 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - got result from client site-1 for task: name=run_algorithm, id=117b3e94-ce69-49af-9188-61f141252bc4\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,568 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=117b3e94-ce69-49af-9188-61f141252bc4] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,568 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=2a786117-6736-4998-97cc-27b5afe05547] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,568 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=035682b1-7197-4165-8faf-dbbb1c151a97] - start to send task result to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,568 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,568 - FederatedClient - INFO - Starting to push execute result.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,568 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-1   task_id:117b3e94-ce69-49af-9188-61f141252bc4\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,568 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - got result from client site-3 for task: name=run_algorithm, id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,569 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - got result from client site-2 for task: name=run_algorithm, id=0117fb75-76e2-4e60-8f23-3adee42b0a38\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,569 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,569 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-3   task_id:37ae4da3-16fd-4e8c-b7d6-c95eaef20469\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,570 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=0117fb75-76e2-4e60-8f23-3adee42b0a38] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,570 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-2   task_id:0117fb75-76e2-4e60-8f23-3adee42b0a38\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,570 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.004786 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,570 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=117b3e94-ce69-49af-9188-61f141252bc4] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,570 - ClientTaskWorker - INFO - Finished one task run for client: site-1 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,571 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - got result from client site-5 for task: name=run_algorithm, id=2a786117-6736-4998-97cc-27b5afe05547\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,571 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=2a786117-6736-4998-97cc-27b5afe05547] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,571 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003910 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,571 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-5   task_id:2a786117-6736-4998-97cc-27b5afe05547\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,571 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=37ae4da3-16fd-4e8c-b7d6-c95eaef20469] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,571 - ClientTaskWorker - INFO - Finished one task run for client: site-3 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,571 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - got result from client site-4 for task: name=run_algorithm, id=035682b1-7197-4165-8faf-dbbb1c151a97\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.004425 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job, peer_rc=OK, task_name=run_algorithm, task_id=035682b1-7197-4165-8faf-dbbb1c151a97] - finished processing client result by controller\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - SubmitUpdateCommand - INFO - submit_update process. client_name:site-4   task_id:035682b1-7197-4165-8faf-dbbb1c151a97\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.003643 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=0117fb75-76e2-4e60-8f23-3adee42b0a38] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=2a786117-6736-4998-97cc-27b5afe05547] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - ClientTaskWorker - INFO - Finished one task run for client: site-2 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - ClientTaskWorker - INFO - Finished one task run for client: site-5 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - Communicator - INFO -  SubmitUpdate size: 613B (613 Bytes). time: 0.004091 seconds\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job, task_name=run_algorithm, task_id=035682b1-7197-4165-8faf-dbbb1c151a97] - task result sent to server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,572 - ClientTaskWorker - INFO - Finished one task run for client: site-4 interval: 2 task_processed: True\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,640 - WFCommServer - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - task run_algorithm exit with status TaskCompletionStatus.OK\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,840 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Workflow: controller finalizing ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,841 - DistOptController - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - P2PAlgorithmController stopped\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,842 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,845 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,845 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,846 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,846 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,847 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,847 - ReliableMessage - INFO - ReliableMessage is shutdown\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,847 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,847 - ObjectStreamer - INFO - Stream Runer is Shut Down\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,847 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - received request from Server to end current RUN\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:03,848 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - Server runner finished.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,281 - SimulatorServer - INFO - Server app stopped.\n",
       "\n",
       "\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,727 - ReliableMessage - INFO - shutdown reliable message monitor\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,868 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,868 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,869 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,869 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,869 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,869 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,869 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,869 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,869 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,870 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,870 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,870 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,870 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,870 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,870 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,870 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,870 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-5 \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,870 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,871 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,871 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,871 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,871 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,871 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-3 \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,871 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2298\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - conn_manager - INFO - Connection [CN00008 Not Connected] is closed PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-1 \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,872 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2296\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,873 - conn_manager - INFO - Connection [CN00011 Not Connected] is closed PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,873 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,873 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,873 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,873 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2294\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - conn_manager - INFO - Connection [CN00009 Not Connected] is closed PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-2 \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,874 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - started end-run events sequence\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,875 - conn_manager - INFO - Connection [CN00010 Not Connected] is closed PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,875 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2295\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,875 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - END_RUN fired\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,875 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,876 - FederatedClient - INFO - Shutting down client run: site-1\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,876 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-4 \u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,876 - FederatedClient - INFO - Shutting down client run: site-2\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,876 - FederatedClient - INFO - Shutting down client run: site-3\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,876 - FederatedClient - INFO - Shutting down client run: site-4\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,877 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 2297\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,877 - conn_manager - INFO - Connection [CN00012 Not Connected] is closed PID: 2282\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,877 - FederatedClient - INFO - Shutting down client run: site-5\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:21,877 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - asked to abort - triggered abort_signal to stop the RUN\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:22,159 - hci - INFO - Admin Server localhost on Port 50297 shutdown!\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:22,160 - SimulatorServer - INFO - shutting down server\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:22,161 - SimulatorServer - INFO - canceling sync locks\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:22,161 - SimulatorServer - INFO - server off\u001b[0m\n",
-      "\u001b[38m2025-01-31 19:25:25,607 - MPM - INFO - MPM: Good Bye!\u001b[0m\n"
+      "\u001b[38m2025-02-03 10:23:05,288 - ReliableMessage - INFO - shutdown reliable message monitor\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,576 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-3, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,576 - GetTaskCommand - INFO - return task to client.  client_name: site-3  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,578 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-1, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,578 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,578 - ClientRunner - INFO - [identity=site-3, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,578 - GetTaskCommand - INFO - return task to client.  client_name: site-1  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,579 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,579 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,579 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,579 - ClientRunner - INFO - [identity=site-3, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,579 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,580 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-3 \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,581 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,581 - ClientRunner - INFO - [identity=site-1, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,581 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,581 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 15316\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,581 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-2, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,581 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,581 - GetTaskCommand - INFO - return task to client.  client_name: site-2  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,581 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,581 - conn_manager - INFO - Connection [CN00009 Not Connected] is closed PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,582 - ClientRunner - INFO - [identity=site-1, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,582 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,582 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-4, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,583 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-1 \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,583 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller, peer=site-5, peer_run=simulate_job] - server runner is finalizing - asked client to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,583 - GetTaskCommand - INFO - return task to client.  client_name: site-4  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,583 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,583 - GetTaskCommand - INFO - return task to client.  client_name: site-5  task_name: __end_run__   task_id:   sharable_header_task_id: \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,584 - ClientRunner - INFO - [identity=site-2, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,584 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,584 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,584 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 15318\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,584 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,584 - ClientRunner - INFO - [identity=site-2, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,584 - conn_manager - INFO - Connection [CN00011 Not Connected] is closed PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,584 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,585 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,585 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-2 \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,585 - ClientRunner - INFO - [identity=site-4, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,585 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,585 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,585 - FederatedClient - INFO - pull_task completed. Task name:__end_run__ Status:True \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,585 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - ClientRunner - INFO - [identity=site-5, run=simulate_job, peer=simulator_server, peer_run=simulate_job] - server asked to end the run\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - ClientRunner - INFO - [identity=site-4, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - started end-run events sequence\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - ABOUT_TO_END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 15317\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - conn_manager - INFO - Connection [CN00008 Not Connected] is closed PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - Firing CHECK_END_RUN_READINESS ...\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - ClientRunner - INFO - [identity=site-5, run=simulate_job] - END_RUN fired\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - ClientTaskWorker - INFO - End the Simulator run.\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,586 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-4 \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,587 - ClientTaskWorker - INFO - Clean up ClientRunner for : site-5 \u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,587 - FederatedClient - INFO - Shutting down client run: site-1\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,587 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 15320\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,588 - conn_manager - INFO - Connection [CN00012 Not Connected] is closed PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,588 - FederatedClient - INFO - Shutting down client run: site-2\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,588 - conn_manager - INFO - Connection [CN00002 Not Connected] is closed PID: 15319\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,588 - conn_manager - INFO - Connection [CN00010 Not Connected] is closed PID: 15299\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,588 - FederatedClient - INFO - Shutting down client run: site-3\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,588 - FederatedClient - INFO - Shutting down client run: site-4\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,589 - FederatedClient - INFO - Shutting down client run: site-5\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,589 - ServerRunner - INFO - [identity=simulator_server, run=simulate_job, wf=controller] - asked to abort - triggered abort_signal to stop the RUN\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,714 - hci - INFO - Admin Server localhost on Port 55190 shutdown!\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,715 - SimulatorServer - INFO - shutting down server\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,715 - SimulatorServer - INFO - canceling sync locks\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:05,715 - SimulatorServer - INFO - server off\u001b[0m\n",
+      "\u001b[38m2025-02-03 10:23:09,171 - MPM - INFO - MPM: Good Bye!\u001b[0m\n"
      ]
     }
    ],
@@ -659,25 +659,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/82/970ljrw529v0chx2svm8gwwr0000gp/T/ipykernel_2247/4202699194.py:6: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
-      "  f\"site-{i+1}\": torch.load(f\"tmp/runs/consensus/site-{i+1}/value_sequence.pt\") for i in range(num_clients)\n"
+      "/var/folders/82/970ljrw529v0chx2svm8gwwr0000gp/T/ipykernel_15268/4202699194.py:6: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.\n",
+      "  f\"site-{i+1}\": torch.load(f\"tmp/runs/consensus/site-{i+1}/value_sequence.pt\") for i in range(num_clients)\n",
+      "/Users/ffarina/Documents/code/NVFlare/nvflare/app_opt/p2p/utils/topology.py:37: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/Copy.cpp:308.)\n",
+      "  idx = eigenvalues.float().argsort(descending=True)\n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
Consensus value: 0.5452268123626709\n",
+       "
Consensus value: 0.2560408115386963\n",
        "
\n"
       ],
       "text/plain": [
-       "Consensus value: \u001b[1;36m0.5452268123626709\u001b[0m\n"
+       "Consensus value: \u001b[1;36m0.2560408115386963\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -706,12 +708,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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diff --git a/examples/advanced/distributed_optimization/2-two_moons/dgd_results.png b/examples/advanced/distributed_optimization/2-two_moons/dgd_results.png
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zc38d#bwg4RyhS$b<+b-X$^F0K&j0b_M}M7n4W?s9k&cBmh)#M3umE4Y(^X{=;!~b-1O6B0Pu0f&

diff --git a/examples/advanced/distributed_optimization/2-two_moons/utils.py b/examples/advanced/distributed_optimization/2-two_moons/utils.py
index ecd6baf6bd..4c56b57b4f 100644
--- a/examples/advanced/distributed_optimization/2-two_moons/utils.py
+++ b/examples/advanced/distributed_optimization/2-two_moons/utils.py
@@ -81,24 +81,24 @@ def plot_results(job, num_clients):
     for i in range(num_clients):
         time = train_loss[f"site-{i + 1}"][:, 0]
         loss = train_loss[f"site-{i + 1}"][:, 1]
-        axs[0].plot(time, loss, label=f"site-{i + 1}")
+        axs[0].plot(range(len(loss)), loss, label=f"site-{i + 1}")
     axs[0].legend()
     axs[0].set_ylim(-0.1, 1)
     axs[0].set_ylabel("Loss")
-    axs[0].set_xlabel("Time (s)")
+    axs[0].set_xlabel("Iteration")
     axs[0].set_title("Evolution of Training Loss")
 
     # Second subplot: Evolution of test loss
     for i in range(num_clients):
         time = test_loss[f"site-{i + 1}"][:, 0]
         loss = test_loss[f"site-{i + 1}"][:, 1]
-        axs[1].plot(time, loss, label=f"site-{i + 1}")
+        axs[1].plot(range(len(loss)), loss, label=f"site-{i + 1}")
     axs[1].legend()
     axs[1].set_ylim(-0.1, 1)
     axs[1].set_ylabel("Loss")
-    axs[1].set_xlabel("Time (s)")
+    axs[1].set_xlabel("Iteration")
     axs[1].set_title("Evolution of Test Loss")
 
     plt.tight_layout()
     plt.savefig(f"{job}_results.png")
-    plt.show()
\ No newline at end of file
+    # plt.show()
\ No newline at end of file
diff --git a/examples/advanced/distributed_optimization/3-mnist/utils.py b/examples/advanced/distributed_optimization/3-mnist/utils.py
index 768d53f839..15716d41d2 100644
--- a/examples/advanced/distributed_optimization/3-mnist/utils.py
+++ b/examples/advanced/distributed_optimization/3-mnist/utils.py
@@ -101,4 +101,5 @@ def plot_results(job, num_clients):
     axs[1].set_title("Evolution of Test Loss")
 
     plt.tight_layout()
-    plt.savefig(f"{job}_results.png")
\ No newline at end of file
+    # plt.savefig(f"{job}_results.png")
+    plt.show()
\ No newline at end of file

From fd3b74ff4e561447e6769259dd4903174e466a3e Mon Sep 17 00:00:00 2001
From: Francesco Farina 
Date: Mon, 3 Feb 2025 12:58:57 +0000
Subject: [PATCH 15/15] update example README

---
 .../advanced/distributed_optimization/README.md    | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/examples/advanced/distributed_optimization/README.md b/examples/advanced/distributed_optimization/README.md
index e74af83233..6b6aad26f7 100644
--- a/examples/advanced/distributed_optimization/README.md
+++ b/examples/advanced/distributed_optimization/README.md
@@ -113,7 +113,7 @@ Config(
 
 ### The controller
 
-In NVFlare, a `Controller` is a server-side component that manages the job execution and orchestration of tasks. Here, since we're running a P2P algorithm, we'll implement a custom controller whose main job is to load and broadcast the network configuration, and initiate/terminate the execution of a P2P algorithm. Let's call it `P2PAlgorithmController`. As a subclass of `Controller`, it must implement 3 methods:
+In NVFlare, a `Controller` is a server-side component that manages the job execution and orchestration of tasks. Here, since we're running a P2P algorithm, we'll implement a custom controller whose main job is to load and broadcast the network configuration, and initiate/terminate the execution of a P2P distributed optimization algorithm. Let's call it `DistOptController`. As a subclass of `Controller`, it must implement 3 methods:
 
 - `start_controller` which is called at the beginning of the run
 - `control_flow` defining the main control flow of the controller (in this case, broadcasting the configuration and asking clients to run the algorithm)
@@ -122,7 +122,7 @@ In NVFlare, a `Controller` is a server-side component that manages the job execu
 ```python
 from nvflare.apis.impl.controller import Controller
 
-class P2PAlgorithmController(Controller):
+class DistOptController(Controller):
 
     def control_flow(self, abort_signal: Signal, fl_ctx: FLContext):
         # Broadcast configuration to clients
@@ -143,7 +143,7 @@ We won't do anything fancy during the start and stop phase, so let's focus on th
 ```python
 from nvflare.app_opt.p2p.types import Config
 
-class P2PAlgorithmController(Controller):
+class DistOptController(Controller):
     def __init__(
         self,
         config: Config,
@@ -167,7 +167,7 @@ from nvflare.apis.dxo import DXO, DataKind
 from nvflare.apis.fl_context import FLContext
 from nvflare.apis.signal import Signal
 
-class P2PAlgorithmController(Controller):
+class DistOptController(Controller):
 
     ...
 
@@ -201,11 +201,11 @@ class P2PAlgorithmController(Controller):
     ... 
 ```
 
-And that's it, our `P2PAlgorithmController` is ready. The complete implementation of the `P2PAlgorithmController` can be found in `nvflare/app_opt/p2p/controllers/base.py`.
+And that's it, our `DistOptController` is ready. The complete implementation of the `DistOptController` can be found in `nvflare/app_opt/p2p/controllers/dist_opt_controller.py`.
 
 ### The executor
 
-Now that we have our `P2PAlgorithmController`, it's time to take care of the actual execution of the algorithm at the client level - we'll build on top of the NVFlare `Executor` to do to that.
+Now that we have our `DistOptController`, it's time to take care of the actual execution of the algorithm at the client level - we'll build on top of the NVFlare `Executor` to do to that.
 
 In NVFlare, an `Executor` is a client-side component that handles tasks received from the controller and executes them. For our purposes we'll need our executor to be able to do a few things:
 - receive the config from the server/controller
@@ -409,7 +409,7 @@ class SyncAlgorithmExecutor(Executor):
     ...
 ```
 
-And that's all. The full implementation is in `nvflare/app_opt/p2p/executors/base.py` - note that the implementation in `nvflare.app_opt.p2p` is split between a `BaseP2PAlgorithmExecutor` and the `SyncAlgorithmExecutor`. It contains a few additional attributes (namely `self.id` and `self.client_name`) to identify the client, which are potentially useful in algorithms, and two additional methods `_pre_algorithm_run` and `_post_algorithm_run` to be overridden by each specific algorithm to execute some code before and after the algorithm execution, respectively.
+And that's all. The full implementation is in `nvflare/app_opt/p2p/executors/sync_executor.py` - note that the implementation of the `SyncAlgorithmExecutor` in `nvflare.app_opt.p2p` is a subclass of `BaseDistOptExecutor`, defined in `nvflare/app_opt/p2p/executors/base_dist_opt_executor.py`. It contains a few additional attributes (namely `self.id` and `self.client_name`) to identify the client, which are potentially useful in algorithms, and two additional methods `_pre_algorithm_run` and `_post_algorithm_run` to be overridden by each specific algorithm to execute some code before and after the algorithm execution, respectively.
 
 ### An example: the `ConsensusExecutor`

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