Image Classification on Tiny-ImageNet (Dir(0.3))
83.44Mean AccuracyPEP-FedPT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PEP-FedPTBackbone=ViT-B/162025.10 | 83.44 | 61 | |
| FedVPT-DBackbone=ViT-B/162025.10 | 83.3 | 60.33 | |
| SGPTBackbone=ViT-B/162025.10 | 78.84 | 53.87 | |
| FedVPTBackbone=ViT-B/162025.10 | 76.57 | 50.34 | |
| Head-TuningBackbone=ViT-B/162025.10 | 70.73 | 45.63 | |
| FedPRBackbone=ViT-B/162025.10 | 68.93 | 47.37 | |
| P-PTBackbone=ViT-B/162025.10 | 62.78 | 40.3 | |
| pFedPGBackbone=ViT-B/162025.10 | 55.91 | 49.31 |