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ResearchFormerly WizWand

Image Classification on CIFAR-100 IID

73.98Accuracycentralized learning
-1.711217.939437.5957.2406Mar 17, 2022Nov 21, 2022Jul 29, 2023Apr 4, 2024Dec 10, 2024Aug 17, 2025Apr 24, 2026
Updated 6mo ago

Evaluation results

MethodLinks
centralized learning2022.0373.98
FedPAC_MuonBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0272.79
Local MuonBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0272.78
Local SOAPBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0271.98
FedCMBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0271.12
FedPAC_SOAPBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0269.79
SCAFFOLDBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0266.04
FedAvgBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0265.04
FedPAC_SophiaBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0264.9
Local AdamWBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0264.37
FedPMBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0262.86
Fed-SophiaBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0262.56
Local SophiaBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.0262.17
FedFTG2022.0356.94
A-FedPDSAMBackbone=LeNet, Family=PD, Local Opt=SAM2024.0955.56
FedSpeedBackbone=ResNet-18, Family=PD, Local Opt=SAM2024.0955.3
A-FedPDSAMBackbone=ResNet-18, Family=PD, Local Opt=SAM2024.0955.3
FedSpeedBackbone=LeNet, Family=PD, Local Opt=SAM2024.0954.01
SCAFFOLD2022.0353.32
FedDyn2022.0353.27
FedDynBackbone=ResNet-18, Family=PD, Local Opt=SGD2024.0953.22
MOON2022.0352.51
FedDF2022.0352.12
A-FedPDBackbone=LeNet, Family=PD, Local Opt=SGD2024.0951.41
FedProx2022.0351.25
SCAFFOLDBackbone=ResNet-18, Family=P, Local Opt=SGD2024.0950.69
FedGen2022.0350.38
FedAvg2022.0350.29
FedDynBackbone=LeNet, Family=PD, Local Opt=SGD2024.0950.27
FedCMBackbone=ResNet-18, Family=P, Local Opt=SGD2024.0950.04
SCAFFOLDBackbone=LeNet, Family=P, Local Opt=SGD2024.0949.65
FedSAMBackbone=ResNet-18, Family=P, Local Opt=SAM2024.0948.66
A-FedPDBackbone=ResNet-18, Family=PD, Local Opt=SGD2024.0948.15
FedAvgBackbone=ResNet-18, Family=P, Local Opt=SGD2024.0944.68
HO-SFLOptimization Order=Hybrid2026.0344.2
FedCMBackbone=LeNet, Family=P, Local Opt=SGD2024.0943.33
SFLOptimization Order=First Order2026.0343.2
FedAvg2026.0443.19
FedSAMBackbone=LeNet, Family=P, Local Opt=SAM2024.0943.02
SpectralFuse2026.0442.7
SpectralFed2026.0441.57
ShapFed2026.0440.39
FedAvgBackbone=LeNet, Family=P, Local Opt=SGD2024.0940.11
CGSV*Note=Average client performance reported2026.0425.69
FSL SAGEOptimization Order=First Order2026.038.3
Mu-SplitFedOptimization Order=Zeroth Order2026.031.3
SFL-ZOOptimization Order=Zeroth Order2026.031.2