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Image Classification on MNIST 100 clients, highly heterog. (test)

96Test AccuracyIVON-ADMM@mg
89.34491.07292.894.528Jun 16, 2025

Evaluation results

MethodLinks
IVON-ADMM@mgBackbone=MLP, Communication rounds=1002025.06960.13
IVON-ADMMBackbone=MLP, Communication rounds=1002025.06960.13
FedDynBackbone=MLP, Communication rounds=1002025.0694.90.18
FedLap-CovBackbone=MLP, Communication rounds=1002025.0694.90.18
FedLapBackbone=MLP, Communication rounds=1002025.0694.40.22
IVON-ADMM@mgBackbone=MLP, Communication rounds=502025.0694.20.19
IVON-ADMMBackbone=MLP, Communication rounds=502025.0694.20.19
FedAvg/FedProxBackbone=MLP, Communication rounds=1002025.06940.22
FedLap-CovBackbone=MLP, Communication rounds=502025.0692.90.29
FedDynBackbone=MLP, Communication rounds=502025.0692.60.33
FedLapBackbone=MLP, Communication rounds=502025.06920.38
FedAvg/FedProxBackbone=MLP, Communication rounds=502025.0691.80.36
FedLap-CovBackbone=MLP, Communication rounds=252025.06910.47
IVON-ADMM@mgBackbone=MLP, Communication rounds=252025.06910.31
IVON-ADMMBackbone=MLP, Communication rounds=252025.06910.31
FedDynBackbone=MLP, Communication rounds=252025.0689.80.6
FedLapBackbone=MLP, Communication rounds=252025.0689.70.63
FedAvg/FedProxBackbone=MLP, Communication rounds=252025.0689.60.59