Image Classification on CIFAR-100 (Loss and Accuracy Reporting)
1.33LossMeta-BayFL
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Meta-BayFL2026.03 | 1.33 | 70.2 | — | |
| Fedmask2026.03 | 1.88 | 65.5 | — | |
| pFedBe2026.03 | 1.99 | 64.03 | — | |
| TIERDefense=TIER2026.07 | 2.13 | 42 | 71 | |
| pFedBayes2026.03 | 2.33 | 65.31 | — | |
| BNN2026.03 | 2.89 | 48.48 | — | |
| NoneDefense=None2026.07 | 3.53 | 48 | 77 | |
| FedAVG2026.03 | 4.42 | 37.95 | — | |
| DP (ϵ=100)Defense=DP, ϵ=1002026.07 | 5.69 | 14 | 34 |