Xuliang Yang

Decoupled Low-Rank Adaptation for Robust Federated Fine-Tuning

Federated Learning (FL) enables collaborative training across distributed clients while preserving data privacy. However, fine-tuning large-scale pre-trained models in FL is hindered by resource constraints and communication costs. Although introducing parameter-efficient fine-tuning strategies such…