4 papers
Near-field Beam Training under Multi-path Channels: A Hybrid Learning-and-Optimization Approach
Jiapeng Li, Changsheng You, Guoliang Cheng +3
For extremely large-scale arrays (XL-arrays), the discrete Fourier transform (DFT) codebook, conventionally used in the far-field, has recently been employed for near-field beam tr…
SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network
Songge Zhang, Guoliang Cheng, Zuguang Li +1
Fine-tuning a large language model (LLM) using the local data of edge users can enable personalized services and applications. For privacy protection, the prevalent solution adopts…
Split Fine-Tuning for Large Language Models in Wireless Networks
Songge Zhang, Guoliang Cheng, Xinyu Huang +4
Fine-tuning is the process of adapting the pre-trained large language models (LLMs) for downstream tasks. Due to substantial parameters, fine-tuning LLMs on mobile devices demands…
Two-Timescale Digital Twin Assisted Model Interference and Retraining over Wireless Network
Jiayi Cong, Guoliang Cheng, Changsheng You +2
In this paper, we investigate a resource allocation and model retraining problem for dynamic wireless networks by utilizing incremental learning, in which the digital twin (DT) sch…