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ResearchFormerly WizWand

Medical Image Classification on BreaKHis high-resolution

89.52AccuracyMH-pFLGB
72.380876.830481.2885.7296Jun 29, 2024
Updated 8mo ago

Evaluation results

MethodLinks
MH-pFLGBModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0689.5286.97
KT-pFLModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0684.2481.33
pFedDFModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0682.3379.41
FedRepModel Architecture=Unified (ResNet17)2024.0679.9176.18
LG-FedAvgModel Architecture=Unified (ResNet17)2024.0679.7275.23
Only Local TrainingModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0678.9173.19
DS-PFLModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0678.4276.09
FedProx+FTModel Architecture=Unified (ResNet17), Fine-tuned=true2024.0678.2773.2
SCAFFOLD+FTModel Architecture=Unified (ResNet17), Fine-tuned=true2024.0677.6172.29
FedAvg+FTModel Architecture=Unified (ResNet17), Fine-tuned=true2024.0677.4972.18
FedDFModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0676.6172.53
FedMDModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0675.9970.83
APFLModel Architecture=Unified (ResNet17)2024.0674.4465.68
SCAFFOLDModel Architecture=Unified (ResNet17)2024.0674.4265.12
FedAvgModel Architecture=Unified (ResNet17)2024.0674.0664.25
FedProxModel Architecture=Unified (ResNet17)2024.0673.5463.86
DittoModel Architecture=Unified (ResNet17)2024.0673.0462.21