Over-the-air federated learning: Status quo, open challenges, and future directions

Author:

Xiao BingnanORCID,Yu XichenORCID,Ni Wei,Wang XinORCID,Poor H. VincentORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference124 articles.

1. When internet of things meets metaverse: convergence of physical and cyber worlds;Li;IEEE Internet Things J.,2023

2. E. Peltonen, M. Bennis, M. Capobianco, et al. 6G white paper on edge intelligence, arXiv preprint arXiv:2004.14850(2020).

3. Machine Learning and Wireless Communications;Eldar,2022

4. Federated learning for online resource allocation in mobile edge computing: a deep reinforcement learning approach;Zheng,2023

5. Federated learning-based heterogeneous load prediction and slicing for 5G systems and beyond;Pu,2022

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