Image Classification on MNIST, DTD, EuroSAT, GTSRB, SVHN (test)
99.33Accuracy (MNIST)SHE-LoRA
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SHE-LoRABackbone=Clip-Vit-Base-Patch-16, r=82025.05 | 99.33 | 69.97 | 98.35 | 95.88 | 95.13 | 91.73 | |
| Flex-LoRABackbone=Clip-Vit-Base-Patch-16, r=162025.05 | 99.3 | 70.05 | 98.29 | 95.45 | 95.15 | 91.65 | |
| Flex-LoRABackbone=Clip-Vit-Base-Patch-16, r=82025.05 | 99.28 | 70.32 | 98.48 | 95.74 | 95.37 | 91.84 | |
| SHE-LoRABackbone=Clip-Vit-Base-Patch-16, r=162025.05 | 99.25 | 70.85 | 98.22 | 95.35 | 96.03 | 91.94 | |
| HeterLoRABackbone=Clip-Vit-Base-Patch-16, r=82025.05 | 95.37 | 68.83 | 96.22 | 87.18 | 91.55 | 87.83 | |
| FedITBackbone=Clip-Vit-Base-Patch-16, r=162025.05 | 95.36 | 68.85 | 94.56 | 85.37 | 91.58 | 87.14 | |
| FedSABackbone=Clip-Vit-Base-Patch-16, r=162025.05 | 94.62 | 67.92 | 95.18 | 87.23 | 90.67 | 87.12 | |
| HeterLoRABackbone=Clip-Vit-Base-Patch-16, r=162025.05 | 94.56 | 68.21 | 96.77 | 89.62 | 92.28 | 88.29 | |
| FedITBackbone=Clip-Vit-Base-Patch-16, r=82025.05 | 93.38 | 68.74 | 93.17 | 83.62 | 90.43 | 85.87 | |
| FedSABackbone=Clip-Vit-Base-Patch-16, r=82025.05 | 93.13 | 67.51 | 94.23 | 85.12 | 88.49 | 85.69 |