Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates-Reference-Cited by-同舟云学术

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Latency Minimization for Wireless Federated Learning with Heterogeneous Local Updates

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Wireless Communications and Networking Conference (WCNC)
language:
Short-container-title:

Author:

Zhu Jingyang¹,Shi Yuanming¹,Fu Min²,Zhou Yong¹,Wu Youlong¹,Fu Liqun³

Affiliation:

1. ShanghaiTech University,School of Information Science and Technology,Shanghai,China,201210

2. National University of Singapore,Department of Electrical and Computer Engineering,Singapore,117583

3. Xiamen University,School of Informatics,Xiamen,China,361005

Funder

Natural Science Foundation of Shanghai

Shanghai Rising-Star Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10118584/10118587/10118880.pdf?arnumber=10118880

Reference20 articles.

1. Tackling the objective inconsistency problem in heterogeneous federated optimization;wang;Proc Adv Neural Inf Process Syst (NeurIPS),2020

2. Computation Scheduling for Distributed Machine Learning With Straggling Workers

3. Federated optimization in heterogeneous networks;li;arXiv preprint arXiv 1812 06798,2018

4. Trustworthy federated learning via blockchain;yang;IEEE Internet of Things Journal,2022

5. Learning multiple layers of features from tiny images;krizhevsky,2009

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates;IEEE Internet of Things Journal;2024-01-01

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