Image Classification on Tiny-ImageNet (Mean Accuracy alpha=0.1, 0.3, 0.5)
35.72Mean Accuracy (alpha=0.1)FBL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FBLComputation-unconstrained client ratio (lambda)=50%2026.01 | 35.72 | 40.39 | 46.34 | |
| FBLComputation-unconstrained client ratio (lambda)=25%2026.01 | 34.68 | 40.18 | 46.58 | |
| Scaffold2026.01 | 28.37 | 34.02 | 36.88 | |
| FedNTD2026.01 | 28.22 | 34.08 | 37.58 | |
| FedAvg2026.01 | 28.04 | 31.37 | 32.69 | |
| FedDyn2026.01 | 27.98 | 34.45 | 37.78 | |
| MOON2026.01 | 26.78 | 32.78 | 36.44 | |
| FedCDA2026.01 | 26.44 | 33.11 | 35.88 | |
| FedGen2026.01 | 25.66 | 28.64 | 31.44 | |
| FBLComputation-unconstrained client ratio (lambda)=0%2026.01 | 25.61 | 35.6 | 40.32 | |
| FedProx2026.01 | 22.88 | 30.78 | 34.72 |