21 citations · 71 across the 37 of their papers we have counts for
4 papers · 1 filter
WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks
Jingwen Tong, Jiawei Shao, Qiong Wu +4
Wireless networks are increasingly facing challenges due to their expanding scale and complexity. These challenges underscore the need for advanced AI-driven strategies, particular…
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
Jiawei Shao, Jingwen Tong, Qiong Wu +4
The rapid evolution of wireless technologies and the growing complexity of network infrastructures necessitate a paradigm shift in how communication networks are designed, configur…
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients
Yuchang Sun, Jiawei Shao, Yuyi Mao +1
Federated edge learning (FEEL) has drawn much attention as a privacy-preserving distributed learning framework for mobile edge networks. In this work, we investigate a novel semi-d…
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
Yuchang Sun, Jiawei Shao, Yuyi Mao +2
Federated edge learning (FEEL) has emerged as an effective approach to reduce the large communication latency in Cloud-based machine learning solutions, while preserving data priva…