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Image Classification on EMNIST Practical heterogeneous (alpha = 0.1, K = 20) (test)

96.84AccuracyCAFedCL
64.412872.831481.2589.6686Mar 3, 2026

Evaluation results

MethodLinks
CAFedCLBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0396.841.54
FedProtoBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0395.51.69
FedTGPBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0394.474.54
MP-FedCLBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0394.33.28
FedRCLBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0393.573.33
MOONBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0392.776.53
FedLCBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0390.457.08
FedProxBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0384.278.13
FedAvgBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0382.9511.59
FedProcBackbone=ResNet-18, Normalization=Group Normalization, Local Training Epochs=5, Optimizer=SGD, Number of runs=52026.0365.663.57