Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach-Reference-Cited by-同舟云学术

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Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach

Published:2024 Issue: Volume:72 Page:2054-2072
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Wang Bin¹^ORCID,Fang Jun¹^ORCID,Li Hongbin²^ORCID,Eldar Yonina C.³^ORCID

Affiliation:

1. National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu, China

2. Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA

3. Faculty of Mathematics and Computer Science, Weizmann Institute of Science, Rehovot, Israel

Funder

Sichuan Science and Technology Program

National Key Laboratory of Wireless Communications Foundation

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/78/10347386/10443831-aam.pdf

Reference58 articles.

1. Federated learning: Strategies for improving communication efficiency;Konecný,2016

2. Federated Learning: Challenges, Methods, and Future Directions

3. Local SGD converges fast and communicates little;Stich,2019

4. Local SGD with periodic averaging: Tighter analysis and adaptive synchronization;Haddadpour,2019

5. Federated accelerated stochastic gradient descent;Yuan,2020

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