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Image Classification on CIFAR100 33 (test)

44.1Avg AccuracyFedEM
30.99634.39837.841.202Aug 23, 2021

Evaluation results

MethodLinks
FedEMModel=MobileNet-v2, M=32021.0844.135
pFedMeModel=MobileNet-v22021.0841.832.5
Clustered FLModel=MobileNet-v22021.0841.534.1
FedProxModel=MobileNet-v22021.084133.2
FedAvgModel=MobileNet-v22021.0840.933.2
FedAvg+Model=MobileNet-v22021.083928.3
LocalModel=MobileNet-v22021.0831.519.9