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ResearchFormerly WizWand

Medical Image Classification on BreaKHis downsampling half (x2↓)

89.63AccuracyMH-pFLGB
55.226864.158473.0982.0216Jun 29, 2024
Updated 8mo ago

Evaluation results

MethodLinks
MH-pFLGBModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0689.6387.45
KT-pFLModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0684.4180.11
pFedDFModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0683.6979.65
DS-PFLModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0683.3479.67
FedMDModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0683.2178.29
SCAFFOLD+FTModel Architecture=Unified (ResNet17), Fine-tuned=true2024.0682.3777.09
FedRepModel Architecture=Unified (ResNet17)2024.0682.2976.97
FedDFModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0681.3276.29
FedAvg+FTModel Architecture=Unified (ResNet17), Fine-tuned=true2024.0681.2475.11
SCAFFOLDModel Architecture=Unified (ResNet17)2024.0680.9775.33
FedProx+FTModel Architecture=Unified (ResNet17), Fine-tuned=true2024.0680.5575.49
Only Local TrainingModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0680.2774.61
APFLModel Architecture=Unified (ResNet17)2024.0679.9273.55
FedAvgModel Architecture=Unified (ResNet17)2024.0679.0874.05
FedProxModel Architecture=Unified (ResNet17)2024.0678.7374.21
DittoModel Architecture=Unified (ResNet17)2024.0676.6164.82
LG-FedAvgModel Architecture=Unified (ResNet17)2024.0656.5543.97