Image Classification on DomainNet Feature non-IID
78.01Top-1 AccuracyHyperLoRA
Evaluation results
| Method | Links | |
|---|---|---|
| HyperLoRABackbone=ViT2026.06 | 78.01 | |
| CentralizedBackbone=ViT2026.06 | 77.77 | |
| LoRA-FAIRBackbone=ViT2026.06 | 77.07 | |
| FlexLoRABackbone=ViT2026.06 | 76.02 | |
| FedITBackbone=ViT2026.06 | 75.75 | |
| FLoRABackbone=ViT2026.06 | 75.53 | |
| FFA-LoRABackbone=ViT2026.06 | 72.82 | |
| CentralizedBackbone=MLP-Mixer2026.06 | 66.64 | |
| HyperLoRABackbone=MLP-Mixer2026.06 | 66.17 | |
| LoRA-FAIRBackbone=MLP-Mixer2026.06 | 65.87 | |
| FlexLoRABackbone=MLP-Mixer2026.06 | 64.79 | |
| FLoRABackbone=MLP-Mixer2026.06 | 64.38 | |
| FedITBackbone=MLP-Mixer2026.06 | 64.37 | |
| FFA-LoRABackbone=MLP-Mixer2026.06 | 58.4 |