5 papers
Optimization of Collaborative Semantic Communication Network Performance with Channel and Content Preference Feedback
Defeng Zhou, Dongyu Wei, Siyao Li +1
Existing semantic communication frameworks treat and transmit all image regions with equal importance, which is not practical for real-world applications which may prioritize diffe…
Transformer based Collaborative Reinforcement Learning for Fluid Antenna System (FAS)-enabled 3D UAV Positioning
Xiaoren Xu, Hao Xu, Dongyu Wei +3
In this paper, a novel Three dimensional (3D) positioning framework of fluid antenna system (FAS)-enabled unmanned aerial vehicles (UAVs) is developed. In the proposed framework, a…
Contrastive Language-Image Pre-Training Model based Semantic Communication Performance Optimization
Shaoran Yang, Dongyu Wei, Hanzhi Yu +3
In this paper, a novel contrastive language-image pre-training (CLIP) model based semantic communication framework is designed. Compared to standard neural network (e.g.,convolutio…
Optimizing Model Splitting and Device Task Assignment for Deceptive Signal Assisted Private Multi-hop Split Learning
Dongyu Wei, Xiaoren Xu, Yuchen Liu +2
In this paper, deceptive signal-assisted private split learning is investigated. In our model, several edge devices jointly perform collaborative training, and some eavesdroppers a…
Optimizing Communication and Device Clustering for Clustered Federated Learning with Differential Privacy
Dongyu Wei, Xiaoren Xu, Shiwen Mao +1
In this paper, a secure and communication-efficient clustered federated learning (CFL) design is proposed. In our model, several base stations (BSs) with heterogeneous task-handlin…