no code implementations • 27 May 2024 • Jiawei Shao, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, Jun Zhang
To empower LLMs with knowledge and expertise in the wireless domain, this paper proposes WirelessLLM, a comprehensive framework for adapting and enhancing LLMs to address the unique challenges and requirements of wireless communication networks.
no code implementations • 6 Apr 2024 • Liqun Fu, Jingwen Tong, Tongtong Lin, Jun Zhang
Due to the learned objective model is typically non-convex and challenging to solve in real-time, we leverage the Lyapunov optimization to decouple the long-term average constraint and apply the prime-dual method to solve this decoupled resource allocation problem.
no code implementations • 30 Mar 2024 • Jingwen Tong, Zhenzhen Chen, Liqun Fu, Jun Zhang, Zhu Han
To address the challenges posed by system and data heterogeneities in the FL process, we study a goal-directed client selection problem based on the model analytics framework by selecting a subset of clients for the model training.