Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning
arXiv:2505.12318v2 Announce Type: replace
Abstract: Federated Parameter-Efficient Fine-Tuning (Fed-PEFT) enables lightweight adaptation of large pre-trained models in federated learning settings by updating only a small subset of parameters. However, …