Optimized Power Control for Privacy-Preserving Over-the-Air Federated Edge Learning With Device Sampling-Reference-Cited by-同舟云学术

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Optimized Power Control for Privacy-Preserving Over-the-Air Federated Edge Learning With Device Sampling

Published:2024-09-01 Issue:17 Volume:11 Page:29157-29173
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Tang Bin¹^ORCID,Hu Bei¹^ORCID,Qu Zhihao¹^ORCID,Ye Baoliu²^ORCID

Affiliation:

1. Key Laboratory of Water Big Data Technology of Ministry of Water Resources and the College of Computer Science and Software Engineering, Hohai University, Nanjing, China

2. National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10643444/10540564.pdf?arnumber=10540564

Reference43 articles.

1. Advances and Open Problems in Federated Learning

2. A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks

3. Blind Federated Edge Learning

4. Optimized Power Control Design for Over-the-Air Federated Edge Learning

5. Federated Learning via Over-the-Air Computation

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