Federated Learning 벤치마크
Federated Learning on CIFAR-100 (alpha=1000, 10 clients per round)
ACC@1-100Clients
- 2022-03-22 — FedASAM: ACC@1-100Clients 54.97
| Rank | Model | ACC@1-100Clients | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | FedASAM | 54.97 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |
| 2 | FedASAM + SWA | 54.79 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |
| 3 | FedSAM + SWA | 53.67 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |
| 4 | FedSAM | 53.39 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |
| 5 | FedAvg | 50.25 | Improving Generalization in Federated Learning by Seeking Flat Minima | debcaldarola/fedsam | 2022 |