3 citations · 3 across the 3 of their papers we have counts for
3 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…
cs.NI2015★ 3 cited
A Comparison Study of Coupled and Decoupled Uplink Heterogeneous Cellular Networks
Lan Zhang, Feng Gang, Qin Shuang
The evolution of mobile cellular networks has brought great changes of network architecture. For example, heterogeneous cellular network (HetNet) and Ultra dense network (UDN) have…