Accelerate Federated Learning of Big Data Analysis Through Distillation and Coupled Gradient Methods-Reference-Cited by-同舟云学术

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Accelerate Federated Learning of Big Data Analysis Through Distillation and Coupled Gradient Methods

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
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Author:

Zhou Zhiwei¹,Liu Weikai¹,Zhong Xiaoying¹

Affiliation:

1. School of Mathematic and Physics, Wuhan Institute of Technology,Wuhan,China,430205

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902345.pdf?arnumber=9902345

Reference25 articles.

1. Federated Learning in Mobile Edge Networks: A Comprehensive Survey

2. DIANNE

3. Federated learning: Strate-gies for improving communication efficiency;konecn'y;ArXiv,2016

4. Gradient sparsification for communication-efficient distributed optimization;wangni;NIPS,2018

5. Atomo: Communication-efficientlearning via atomic sparsification;wang;Neural Info Process Syst,2018

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1. A pricing strategy for federated learning in UAV-enabled MEC;The Journal of Supercomputing;2023-12-27

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