A survey on participant selection for federated learning in mobile networks-Reference-Cited by-同舟云学术

A survey on participant selection for federated learning in mobile networks

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture
language:
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Author:

Soltani Behnaz¹,Haghighi Venus¹,Mahmood Adnan¹,Sheng Quan Z.¹,Yao Lina²

Affiliation:

1. Macquarie University, Sydney, Australia

2. University of New South Wales, Sydney, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3556548.3559633

Reference30 articles.

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3. Bing Luo , Wenli Xiao , Shiqiang Wang , Jianwei Huang , and Leandros Tassiulas . Tackling system and statistical heterogeneity for federated learning with adaptive client sampling . pages 1 -- 10 , 2022 . Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, and Leandros Tassiulas. Tackling system and statistical heterogeneity for federated learning with adaptive client sampling. pages 1--10, 2022.

4. Xiang Li , Kaixuan Huang , Wenhao Yang , Shusen Wang , and Zhihua Zhang . On the convergence of fedavg on non-iid data. arXiv preprint arXiv:1907.02189 , 2019 . Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, and Zhihua Zhang. On the convergence of fedavg on non-iid data. arXiv preprint arXiv:1907.02189, 2019.

5. Optimizing Federated Learning on Non-IID Data with Reinforcement Learning

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