Medical Image Classification on BloodMNIST (test)
94.15Accuracy (alpha=0.6)FedAWA + SpecGradFilter
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FedAWA + SpecGradFilter2026.07 | 94.15 | 91.02 | |
| FedAvg + SpecGradFilter2026.07 | 94.12 | 90.38 | |
| SCAFFOLD + SpecGradFilter2026.07 | 93.48 | 88.25 | |
| FedAWA2026.07 | 91.49 | 83.83 | |
| FedAvg2026.07 | 91.05 | 84.18 | |
| SCAFFOLD2026.07 | 90.91 | 81.99 |