Image Classification on Tiny-ImageNet (Pathological)
91.52Mean AccuracyPEP-FedPT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PEP-FedPTBackbone=ViT-B/162025.10 | 91.52 | 77.33 | |
| pFedPGBackbone=ViT-B/162025.10 | 82.93 | 50.21 | |
| FedVPT-DBackbone=ViT-B/162025.10 | 79.6 | 59.83 | |
| SGPTBackbone=ViT-B/162025.10 | 75.65 | 55.66 | |
| FedVPTBackbone=ViT-B/162025.10 | 74.2 | 54 | |
| FedPRBackbone=ViT-B/162025.10 | 68.86 | 47.5 | |
| Head-TuningBackbone=ViT-B/162025.10 | 68.39 | 44.09 | |
| P-PTBackbone=ViT-B/162025.10 | 61.68 | 38.09 |