Personalizing Federated Learning with Over-The-Air Computations

Author:

Chen Zihan1,Li Zeshen2,Yang Howard H.2,Quek Tony Q. S.1

Affiliation:

1. Singapore University of Technology and Design,Singapore,487372

2. Zhejiang University,ZJU-UIUC Institute,Haining,China,314400

Funder

National Natural Science Foundation of China

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Persota FL: A Robust-to-Noise Personalized Over the Air Federated Learning for Human Activity Recognition;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

2. Personalized Over-The-Air Federated Learning with Personalized Reconfigurable Intelligent Surfaces;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Federated Learning with Partial Gradients Over-the-Air;2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON);2023-09-11

4. A Survey on Over-the-Air Computation;IEEE Communications Surveys & Tutorials;2023

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