Multiple Parallel Federated Learning via Over-the-Air Computation-Reference-Cited by-同舟云学术

Multiple Parallel Federated Learning via Over-the-Air Computation

Published:2022 Issue: Volume:3 Page:1252-1264
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Shi Gaoxin¹,Guo Shuaishuai¹^ORCID,Ye Jia²^ORCID,Saeed Nasir³^ORCID,Dang Shuping⁴^ORCID

Affiliation:

1. School of Control Science and Engineering, Shandong University, Jinan, China

2. Electrical Engineering, Computer Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

3. Department of Electrical Engineering, Northern Border University, Arar, Saudi Arabia

4. Department of Electrical and Electronic Engineering, University of Bristol, Bristol, U.K.

Funder

National Natural Science Foundation of China

Shandong Provincial Natural Science Foundation

Major Scientific and Technological Innovation Project of Shandong Province

Tashan Young Scholar

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/8782661/9702748/09844173.pdf?arnumber=9844173

Reference45 articles.

1. Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems

2. Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks

3. Optimized power control for over-the-air federated edge learning;cao;Proc IEEE Int Conf Commun,2021

4. Gradient Statistics Aware Power Control for Over-the-Air Federated Learning

5. Federated Learning Over Wireless Fading Channels

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