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Client Selection Based on Diversity Scaling for Federated Learning on Non-IID Data

Version 2 2024-06-02, 23:38
Version 1 2023-08-28, 05:27
conference contribution
posted on 2024-06-02, 23:38 authored by Yuechao RenYuechao Ren, Atul SajjanharAtul Sajjanhar, Shang GaoShang Gao, Seng LokeSeng Loke
Client Selection Based on Diversity Scaling for Federated Learning on Non-IID Data

History

Volume

511

Pagination

126-137

Location

Virtual

Publisher DOI

Start date

2023-03-12

End date

2023-03-13

ISSN

1867-8211

eISSN

1867-822X

ISBN-13

9783031404665

Edition

1

Language

English

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

Wang W, Wu J

Title of proceedings

Broadband Communications, Networks, and Systems.

Event

BROADNETS 2023

Publisher

Springer

Place of publication

Cham, Switzerland

Title of book

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Series

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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    Research Publications

    Categories

    Keywords

    client selectionconvergencediversity scalingfederated learning

    Licence

    All Rights Reserved

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