notesum.ai
Published at October 30Why Gradient Subspace? Identifying and Mitigating LoRA's Bottlenecks in Federated Fine-Tuning of Large Language Models
cs.LG
cs.AI
Released Date: October 30, 2024
Authors: Navyansh Mahla, Ganesh Ramakrishnan

| No of clients | Method | F1 Score |
|---|---|---|
| 3 | FedFTG | 0.6064 |
| FlexLoRA | 0.5638 | |
| FFA-LoRA | 0.0165 | |
| 4 | FedFTG | 0.843 |
| FlexLoRA | 0.4868 | |
| FFA-LoRA | 0.3175 | |
| 5 | FedFTG | 0.7274 |
| FlexLoRA | 0.6116 | |
| FFA-LoRA | 0.1104 |