Image Classification on CIFAR10 (test) (Alpha-based Robustness Accuracy)
41.1Accuracy (alpha=0.02)FedAF
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FedAFBackbone=ResNet18, Communication rounds=202024.04 | 41.1 | 41.4 | 42.93 | |
| FedDMBackbone=ResNet18, Communication rounds=202024.04 | 39.18 | 39.47 | 40.83 | |
| MOONBackbone=ResNet18, Communication rounds=202024.04 | 29.59 | 33.11 | 37.26 | |
| FedBNBackbone=ResNet18, Communication rounds=202024.04 | 27 | 30.29 | 35.48 | |
| FedProxBackbone=ResNet18, Communication rounds=202024.04 | 26.86 | 32.73 | 36.25 | |
| FedGenBackbone=ResNet18, Communication rounds=202024.04 | 26.63 | 32.48 | 38.85 | |
| FedAvgBackbone=ResNet18, Communication rounds=202024.04 | 26.48 | 32.72 | 35.85 | |
| FedDynBackbone=ResNet18, Communication rounds=202024.04 | 22.67 | 29.89 | 35.38 |