4 papers
Joint Optimization of Latency and Accuracy for Split Federated Learning in User-Centric Cell-Free MIMO Networks
Zitong Wang, Cheng Zhang, Wen Wang +3
This paper proposes a user-centric split federated learning (UCSFL) framework for user-centric cell-free multiple-input multiple-output (CF-MIMO) networks to support split federate…
Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach
Hao Wei, Wanli Ni, Wen Wang +3
This letter proposes UniToCom, a unified token communication paradigm that treats tokens as the fundamental units for both processing and wireless transmission. Specifically, to en…
Task-Agnostic Semantic Communications Relying on Information Bottleneck and Federated Meta-Learning
Hao Wei, Wen Wang, Wanli Ni +4
As a paradigm shift towards pervasive intelligence, semantic communication (SemCom) has shown great potentials to improve communication efficiency and provide user-centric services…
RMTransformer: Accurate Radio Map Construction and Coverage Prediction
Yuxuan Li, Cheng Zhang, Wen Wang +1
Radio map, or pathloss map prediction, is a crucial method for wireless network modeling and management. By leveraging deep learning to construct pathloss patterns from geographica…