Joint Compression and Deadline Optimization for Wireless Federated Learning-Reference-Cited by-同舟云学术

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Joint Compression and Deadline Optimization for Wireless Federated Learning

Published:2024 Issue: Volume: Page:1-13
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Zhang Maojun¹,Li Yang²,Liu Dongzhu³^ORCID,Jin Richeng¹^ORCID,Zhu Guangxu⁴^ORCID,Zhong Caijun¹^ORCID,Quek Tony Q.S.⁵^ORCID

Affiliation:

1. College of information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

2. China Academy of Information and Communications Technology, Beijing, China

3. School of Computing Science, University of Glasgow, U.K.

4. Shenzhen Research Institute of Big Data, Shenzhen, China

5. Singapore University of Technology and Design, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/10365393.pdf?arnumber=10365393

Cited by 2 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. Efficient Federated Learning via Joint Communication and Computation Optimization;IEEE Transactions on Vehicular Technology;2024-08

2. Adaptive Sparsification and Quantization for Enhanced Energy Efficiency in Federated Learning;IEEE Open Journal of the Communications Society;2024

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