27 citations · 63 across the 13 of their papers we have counts for
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cs.LG2022
Phase Shift Design in RIS Empowered Wireless Networks: From Optimization to AI-Based Methods
Zongze Li, Shuai Wang, Qingfeng Lin +4
Reconfigurable intelligent surfaces (RISs) have a revolutionary capability to customize the radio propagation environment for wireless networks. To fully exploit the advantages of…
cs.LG2022★ 1 cited
Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing
Hung T. Nguyen, H. Vincent Poor, Mung Chiang
Federated learning is a prime candidate for distributed machine learning at the network edge due to the low communication complexity and privacy protection among other attractive p…
cs.LG2022
Federated Stochastic Gradient Descent Begets Self-Induced Momentum
Howard H. Yang, Zuozhu Liu, Yaru Fu +2
Federated learning (FL) is an emerging machine learning method that can be applied in mobile edge systems, in which a server and a host of clients collaboratively train a statistic…