Image Classification on CIFAR-100 IID Even distribution (test)
84.07Top-1 AccuracyFedSmoothLoRA
Evaluation Results
| Method | Links | |
|---|---|---|
| FedSmoothLoRABackbone=ViT-Small, Pre-trained=ImageNet-21k, LoRA Rank (r)=2, Scaling Factor (α)=4, Number of Clients=52026.05 | 84.07 | |
| FRLoRABackbone=ViT-Small, Pre-trained=ImageNet-21k, LoRA Rank (r)=2, Scaling Factor (α)=4, Number of Clients=52026.05 | 79.97 | |
| SCAFFOLD(LoRA)Backbone=ViT-Small, Pre-trained=ImageNet-21k, LoRA Rank (r)=2, Scaling Factor (α)=4, Number of Clients=52026.05 | 75.71 | |
| FedAvgM(LoRA)Backbone=ViT-Small, Pre-trained=ImageNet-21k, LoRA Rank (r)=2, Scaling Factor (α)=4, Number of Clients=52026.05 | 75.37 | |
| LoRA-FAIRBackbone=ViT-Small, Pre-trained=ImageNet-21k, LoRA Rank (r)=2, Scaling Factor (α)=4, Number of Clients=52026.05 | 75.33 | |
| FedProx(LoRA)Backbone=ViT-Small, Pre-trained=ImageNet-21k, LoRA Rank (r)=2, Scaling Factor (α)=4, Number of Clients=52026.05 | 74.35 | |
| FlexLoRABackbone=ViT-Small, Pre-trained=ImageNet-21k, LoRA Rank (r)=2, Scaling Factor (α)=4, Number of Clients=52026.05 | 74.08 | |
| FedAvgLoRABackbone=ViT-Small, Pre-trained=ImageNet-21k, LoRA Rank (r)=2, Scaling Factor (α)=4, Number of Clients=52026.05 | 73.97 | |
| FFALoRABackbone=ViT-Small, Pre-trained=ImageNet-21k, LoRA Rank (r)=2, Scaling Factor (α)=4, Number of Clients=52026.05 | 17.86 |