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Image Classification on CIFAR10 33 (test)

84.3Avg AccuracyFedEM
69.63673.44377.2581.057Aug 23, 2021

Evaluation results

MethodLinks
FedEMModel=MobileNet-v2, M=32021.0884.378.1
FedAvg+Model=MobileNet-v22021.0882.370.6
pFedMeModel=MobileNet-v22021.0881.773.6
Clustered FLModel=MobileNet-v22021.0878.671.2
FedAvgModel=MobileNet-v22021.0878.272.4
FedProxModel=MobileNet-v22021.087870.8
LocalModel=MobileNet-v22021.0870.248.7