2 papers
cs.LG2026
Rethinking Factor Sharing in Federated LoRA: A Rank-Aware Adaptive Approach
Xinyi Xu, Bingnan Xiao, Shuang Qin +2
Low-rank adaptation (LoRA) represents large language model (LLM) updates with two compact matrix factors, i.e., and , providing an efficient way to fine-tune large models in…
cs.NI2022
Resource Consumption for Supporting Federated Learning in Wireless Networks
Yi-Jing Liu, Shuang Qin, Yao Sun +1
Federated learning (FL) has recently become one of the hottest focuses in wireless edge networks with the ever-increasing computing capability of user equipment (UE). In FL, UEs tr…