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ResearchFormerly WizWand

Medical Image Classification on BreaKHis downsampling eighth x8↓

77.93AccuracyMH-pFLGB
56.932462.383767.83573.2863Jun 29, 2024
Updated 8mo ago

Evaluation results

MethodLinks
MH-pFLGBModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0677.9372.14
KT-pFLModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0670.3262.19
Only Local TrainingModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0669.5658.67
pFedDFModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0668.4360.22
FedDFModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0666.2756.27
FedMDModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0664.9554.39
FedRepModel Architecture=Unified (ResNet17)2024.0663.2850.91
DS-PFLModel Architecture=Heterogeneous (ResNet17, 11, 8, 5)2024.0663.2752.29
FedAvg+FTModel Architecture=Unified (ResNet17), Fine-tuned=true2024.0662.3450.73
SCAFFOLD+FTModel Architecture=Unified (ResNet17), Fine-tuned=true2024.0661.4250.05
APFLModel Architecture=Unified (ResNet17)2024.0661.3349.86
LG-FedAvgModel Architecture=Unified (ResNet17)2024.0660.849.02
FedProx+FTModel Architecture=Unified (ResNet17), Fine-tuned=true2024.0660.7148.29
DittoModel Architecture=Unified (ResNet17)2024.0659.3147.41
SCAFFOLDModel Architecture=Unified (ResNet17)2024.0658.6647.32
FedProxModel Architecture=Unified (ResNet17)2024.0658.2146.87
FedAvgModel Architecture=Unified (ResNet17)2024.0657.7446.81