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eess.SP2026
Multimodal Learning for MIMO Beam Prediction Based on Variational Inference
Zijian Zheng, Wenqiang Yi, Hyundong Shin +1
Accurate beam prediction is essential for mitigating signalling overhead and latency in integrated sensing and communication-enabled massive multi-input multi-output systems. With…
eess.SP2024
Federated Contrastive Learning for Personalized Semantic Communication
Yining Wang, Wanli Ni, Wenqiang Yi +3
In this letter, we design a federated contrastive learning (FedCL) framework aimed at supporting personalized semantic communication. Our FedCL enables collaborative training of lo…