Federated Learning On Cifar 100 Alpha 0 10
평가 지표
ACC@1-100Clients
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | ACC@1-100Clients | Paper Title | Repository |
|---|---|---|---|
| FedAvg | 36.74 | Improving Generalization in Federated Learning by Seeking Flat Minima | |
| FedSAM + SWA | 39.51 | Improving Generalization in Federated Learning by Seeking Flat Minima | |
| FedASAM | 39.76 | Improving Generalization in Federated Learning by Seeking Flat Minima | |
| FedASAM + SWA | 42.64 | Improving Generalization in Federated Learning by Seeking Flat Minima | |
| FedSAM | 36.93 | Improving Generalization in Federated Learning by Seeking Flat Minima |
0 of 5 row(s) selected.