Communication-Loss Trade-Off in Federated Learning: A Distributed Client Selection Algorithm-Reference-Cited by-同舟云学术

Communication-Loss Trade-Off in Federated Learning: A Distributed Client Selection Algorithm

Published:2022-01-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
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Author:

Hosseinzadeh Minoo¹,Hudson Nathaniel¹,Heshmati Sam²,Khamfroush Hana¹

Affiliation:

1. University of Kentucky,Department of Computer Science

2. University of Kentucky,Department of Marketing & Supply Chain

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9700484/9700495/09700601.pdf?arnumber=9700601

Reference28 articles.

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2. Communication-efficient federated learning via optimal client sampling;ribero,2020

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4. Budgeted online selection of candidate iot clients to participate in federated learning;mohammed;IEEE IoT Journal,2020

5. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

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