Image Classification on Tiny-ImageNet (Acc, Avg. Class.)
47.3AccuracyTAP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| TAPModel=FLAVA2025.09 | 47.3 | 52.07 | |
| DisentAFL + Post-trainModel=FLAVA2025.09 | 46.62 | 25.48 | |
| FedAvg + Post-trainModel=FLAVA2025.09 | 41.51 | 47.86 | |
| Per-FedAvg + Post-trainModel=FLAVA2025.09 | 40.6 | 46.87 | |
| DisentAFLModel=FLAVA2025.09 | 38.29 | 19.68 | |
| FedAvgModel=FLAVA2025.09 | 30.66 | 38.43 | |
| LocalModel=FLAVA2025.09 | 25.35 | 28.68 | |
| FedDAT + Post-trainModel=FLAVA2025.09 | 25.22 | 32.22 | |
| Per-FedAvgModel=FLAVA2025.09 | 24.97 | 32.75 | |
| FedDATModel=FLAVA2025.09 | 15.43 | 22.83 |