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Image Classification on CIFAR-10 Dirichlet(0.3) (test)

84.82Test AccuracyFedSpeed+MAN
72.173675.456878.7482.0232May 28, 2024Aug 29, 2024Nov 30, 2024Mar 4, 2025Jun 5, 2025Sep 6, 2025Dec 9, 2025

Evaluation results

MethodLinks
FedSpeed+MANregularizer=MAN2025.1284.82——
FedDyn+MANregularizer=MAN2025.1284.63——
FedSpeed2025.1284.24——
FedDC2025.1283.64——
DFedPGPSetting=computation resources heterogeneous2024.0583.63——
FedDC+MANregularizer=MAN2025.1283.59——
FedAvg+MANregularizer=MAN2025.1283.35——
FedRepSetting=computation resources heterogeneous2024.0583.08——
OSGPSetting=computation resources heterogeneous2024.0582.81——
DFedAvgMSetting=computation resources heterogeneous2024.0582.7——
FedSAM+MANregularizer=MAN2025.1282.54——
FedDyn2025.1282.53——
Dis-PFLSetting=computation resources heterogeneous2024.0582.41——
FedASAM+MANregularizer=MAN2025.1281.85——
FedSAM2025.1281.4——
FedPerSetting=computation resources heterogeneous2024.0581.06——
FedASAM2025.1280.83——
FedAvg2025.1280.19——
FedAvgSetting=computation resources heterogeneous2024.0575.76——
DittoSetting=computation resources heterogeneous2024.0575.63——
FedBABUSetting=computation resources heterogeneous2024.0572.66——
DR-DSGDModel=Two-layer CNN2024.10—32.7764.03
DRFAModel=Two-layer CNN2024.10—32.1563.81
FedAdamModel=Two-layer CNN2024.10—48.671.47
FedAvgModel=Two-layer CNN2024.10—31.462.36
FedProxModel=Two-layer CNN2024.10—31.0261.89
FGDRO-CVaRModel=Two-layer CNN2024.10—4166.06
FGDRO-KLModel=Two-layer CNN2024.10—35.663.69
FGDRO-KL-AdamModel=Two-layer CNN2024.10—52.870.57
SCAFFOLDModel=Two-layer CNN2024.10—32.4563.37