Value of Information and Timing-aware Scheduling for Federated Learning-Reference-Cited by-同舟云学术

Value of Information and Timing-aware Scheduling for Federated Learning

Published:2023-11-06 Issue: Volume: Page:
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Container-title:2023 IEEE Conference on Standards for Communications and Networking (CSCN)
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Author:

Khan Muhammad Azeem¹,Yang Howard H.²,Chen Zihan³,Iera Antonio¹,Pappas Nikolaos⁴

Affiliation:

1. University of Calabria,DIMES Department,Arcavacata di Rende,(CS),Italy

2. Zhejiang University,ZJU-UIUC Institute,China

3. Singapore University of Technology and Design,ISTD Pillar,Singapore

4. Linköping University,Department of Computer and Information Science,Sweden

Publisher

IEEE

Link

Reference25 articles.

1. Federated learning: Strategies for improving communication efficiency;Konečnỳ;arXiv:1610.05492,2016

2. Communication-efficient learning of deep networks from decentralized data;McMahan;Artificial intelligence and statistics,2017

3. Deep gradient compression: Reducing the communication bandwidth for distributed training;Lin;arXiv:1712.01887,2017

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