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Setting: Rounds:200,Epoch:5,dataset:cifar10, cifar100,local_model:您源码提供的CNN
在这个Setting下我跑了一些实验发现:对于 global_acc
Cifar10 Dir 0.05:feddyn, Ditto和FedETF的acc分别是55.5500,59.4300和52.3700
Cifar10 Dir 0.1:feddyn, Ditto和FedETF的acc分别是64.3200,60.5500和54.3700
Cifar10 Dir 0.05:feddyn和FedETF的acc分别是29.4100和21.6100
Cifar10 Dir 0.1:feddyn和FedETF的acc分别是29.7800,60.5500和22.4200
Setting: Rounds:200,Epoch:5,dataset:cifar10, cifar100,local_model:您源码提供的CNN
在这个Setting下我跑了一些实验发现:对于 global_acc
Cifar10 Dir 0.05:feddyn, Ditto和FedETF的acc分别是55.5500,59.4300和52.3700
Cifar10 Dir 0.1:feddyn, Ditto和FedETF的acc分别是64.3200,60.5500和54.3700
Cifar10 Dir 0.05:feddyn和FedETF的acc分别是29.4100和21.6100
Cifar10 Dir 0.1:feddyn和FedETF的acc分别是29.7800,60.5500和22.4200
实验发现其实在global model的性能并没有之前的几个方法好,请问FedETF是不是只有在您那个setting和model下才能有这样的效果呢?
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