Image Classification on CIFAR-100 IID
73.98Accuracycentralized learning
Evaluation Results
| Method | Links | |
|---|---|---|
| centralized learning2022.03 | 73.98 | |
| FedPAC_MuonBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 72.79 | |
| Local MuonBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 72.78 | |
| Local SOAPBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 71.98 | |
| FedCMBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 71.12 | |
| FedPAC_SOAPBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 69.79 | |
| SCAFFOLDBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 66.04 | |
| FedAvgBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 65.04 | |
| FedPAC_SophiaBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 64.9 | |
| Local AdamWBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 64.37 | |
| FedPMBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 62.86 | |
| Fed-SophiaBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 62.56 | |
| Local SophiaBackbone=ResNet-18, Communication rounds=300, Total clients=100, Participation percentage=10%, Batch size=50, Local steps (K)=502026.02 | 62.17 | |
| FedFTG2022.03 | 56.94 | |
| A-FedPDSAMBackbone=LeNet, Family=PD, Local Opt=SAM2024.09 | 55.56 | |
| FedSpeedBackbone=ResNet-18, Family=PD, Local Opt=SAM2024.09 | 55.3 | |
| A-FedPDSAMBackbone=ResNet-18, Family=PD, Local Opt=SAM2024.09 | 55.3 | |
| FedSpeedBackbone=LeNet, Family=PD, Local Opt=SAM2024.09 | 54.01 | |
| SCAFFOLD2022.03 | 53.32 | |
| FedDyn2022.03 | 53.27 | |
| FedDynBackbone=ResNet-18, Family=PD, Local Opt=SGD2024.09 | 53.22 | |
| MOON2022.03 | 52.51 | |
| FedDF2022.03 | 52.12 | |
| A-FedPDBackbone=LeNet, Family=PD, Local Opt=SGD2024.09 | 51.41 | |
| FedProx2022.03 | 51.25 | |
| SCAFFOLDBackbone=ResNet-18, Family=P, Local Opt=SGD2024.09 | 50.69 | |
| FedGen2022.03 | 50.38 | |
| FedAvg2022.03 | 50.29 | |
| FedDynBackbone=LeNet, Family=PD, Local Opt=SGD2024.09 | 50.27 | |
| FedCMBackbone=ResNet-18, Family=P, Local Opt=SGD2024.09 | 50.04 | |
| SCAFFOLDBackbone=LeNet, Family=P, Local Opt=SGD2024.09 | 49.65 | |
| FedSAMBackbone=ResNet-18, Family=P, Local Opt=SAM2024.09 | 48.66 | |
| A-FedPDBackbone=ResNet-18, Family=PD, Local Opt=SGD2024.09 | 48.15 | |
| FedAvgBackbone=ResNet-18, Family=P, Local Opt=SGD2024.09 | 44.68 | |
| HO-SFLOptimization Order=Hybrid2026.03 | 44.2 | |
| FedCMBackbone=LeNet, Family=P, Local Opt=SGD2024.09 | 43.33 | |
| SFLOptimization Order=First Order2026.03 | 43.2 | |
| FedAvg2026.04 | 43.19 | |
| FedSAMBackbone=LeNet, Family=P, Local Opt=SAM2024.09 | 43.02 | |
| SpectralFuse2026.04 | 42.7 | |
| SpectralFed2026.04 | 41.57 | |
| ShapFed2026.04 | 40.39 | |
| FedAvgBackbone=LeNet, Family=P, Local Opt=SGD2024.09 | 40.11 | |
| CGSV*Note=Average client performance reported2026.04 | 25.69 | |
| FSL SAGEOptimization Order=First Order2026.03 | 8.3 | |
| Mu-SplitFedOptimization Order=Zeroth Order2026.03 | 1.3 | |
| SFL-ZOOptimization Order=Zeroth Order2026.03 | 1.2 |