Image Classification on CIFAR-10 5%-200 devices
83.14Accuracy (Dirichlet α=0.5)FedVSSAM
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| FedVSSAMDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 83.14 | 145 | 79.42 | 281 | 83.52 | 131 | 80.9 | 236 | |
| MoFedSAMDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 81.93 | 216 | 79 | 404 | 82.65 | 178 | 80.13 | 332 | |
| FedGAMMADevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 81.17 | 218 | 76.99 | 574 | 81 | 203 | 78.85 | 433 | |
| FedSMOODevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 78.28 | 246 | 77.31 | 512 | 79.7 | 210 | 78.48 | 393 | |
| FedACGDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 78.03 | 213 | 75.64 | 603 | 77.71 | 258 | 77.68 | 331 | |
| SCAFFOLDDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 77.79 | 299 | 74.19 | — | 78.13 | 264 | 76.18 | 549 | |
| FedSAMDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 76.17 | 581 | 71.84 | — | 77.38 | 394 | 74.19 | — | |
| FedAdamDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 75.05 | 751 | 74.56 | — | 75.57 | 615 | 76.17 | 485 | |
| FedAvgDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 74.86 | — | 70.3 | — | 75.15 | 789 | 72.74 | — | |
| FedLESAMDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 74.61 | — | 69.89 | — | 75.14 | 708 | 72.69 | — | |
| FedProxDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 74.27 | — | 70.82 | — | 74.65 | — | 72.1 | — | |
| FedCMDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 72.88 | — | 72.01 | — | 73.93 | — | 74.25 | — | |
| FedDynDevice Sampling=5%-200 devices, Training Rounds=8002026.05 | 72.53 | — | 71.23 | — | 72.94 | — | 73.48 | — |