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ResearchFormerly WizWand

Image Classification on CINIC-10 non-iid

37.59AccuracyFedAvg
8.62616.145523.66531.1845Dec 29, 2025
Updated 8mo ago

Evaluation results

MethodLinks
FedAvgModel=ResNet442025.1237.59
FedAvgModel=ResNet202025.1236.32
FedOLFModel=ResNet44, TOA setting=no TOA2025.1235.57
DepthFLModel=ResNet442025.1234.28
SLTModel=ResNet442025.1233.63
ScaleFLModel=ResNet442025.1233.59
FedOLFModel=ResNet44, TOA setting=TOA (s = 0.75)2025.1232.52
FedOLFModel=ResNet20, TOA setting=no TOA2025.1232.27
FedOLFModel=ResNet20, TOA setting=TOA (s = 0.5)2025.1231.92
FedOLFModel=ResNet20, TOA setting=TOA (s = 0.75)2025.1231.85
FedOLFModel=ResNet44, TOA setting=TOA (s = 0.5)2025.1230.89
NeFLModel=ResNet442025.1230.8
CoCoFLModel=ResNet442025.1226.67
NeFLModel=ResNet202025.1226
CoCoFLModel=ResNet202025.1225.66
SLTModel=ResNet202025.1224.11
FjORDModel=ResNet442025.1220.08
FjORDModel=ResNet202025.1216.55
AdaptiveFLModel=ResNet442025.1215.14
AdaptiveFLModel=ResNet202025.1213.49
HeteroFLModel=ResNet202025.1210.69
FeddropModel=ResNet442025.1210.31
HeteroFLModel=ResNet442025.1210.03
DepthFLModel=ResNet202025.129.97
FeddropModel=ResNet202025.129.87
ScaleFLModel=ResNet202025.129.74