AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation-Reference-Cited by-同舟云学术

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AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation

Published:2023-12-17 Issue: Volume:2 Page:46-53
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
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Author:

Yan Bingjie¹,Jiang Xinlong¹,Chen Yiqiang¹,Gao Chenlong¹,Liu Xuequn²

Affiliation:

1. Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China

2. Nanchang Aier Eye Hospital,Nanchang,China

Funder

Youth Innovation Promotion Association

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475889/10475881/10476054.pdf?arnumber=10476054

Reference44 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

2. Federated optimization in heterogeneous networks;Li

3. Asynchronous federated optimization;Xie,2019

4. Federated learning with buffered asynchronous aggregation;Nguyen

5. Scaffold: Stochastic controlled averaging for federated learning;Karimireddy

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