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cs.LG2026
Improving Channel Estimation via Multimodal Diffusion Models with Flow Matching
Xiaotian Fan, Xingyu Zhou, Le Liang +2
Deep generative models offer a powerful alternative to conventional channel estimation by learning complex channel distributions. By integrating the rich environmental information…
cs.LG2025
Timely Parameter Updating in Over-the-Air Federated Learning
Jiaqi Zhu, Zhongyuan Zhao, Xiao Li +3
Incorporating over-the-air computations (OAC) into the model training process of federated learning (FL) is an effective approach to alleviating the communication bottleneck in FL…