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Paper Abstract and Keywords
Presentation 2024-07-17 10:00
[Short Paper] A Study on Random Walk SGD for Fault-Tolerance Decentralized Federated Learning
Yuta Tomimasu, Koya Sato (UEC) SR2024-22
Abstract (in Japanese) (See Japanese page) 
(in English) Random walk stochastic gradient descent (RWSGD) is an optimization algorithm for communication-efficient decentralized federated learning (DFL). Although it can reduce the communication overhead in the DFL, its delay performance is often affected by a failure of a training node. In this study, we propose an improved RWSGD, which detects and avoids failed nodes by using box-and-whisker diagram-based outlier detection for the computation time of nodes. Numerical results in an image classification task shows that our method can suppress training delays caused by node failures.
Keyword (in Japanese) (See Japanese page) 
(in English) Federated Learning / Decentralized Stochastic Gradient Descent / Anomaly Detection / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 108, SR2024-22, pp. 1-3, July 2024.
Paper # SR2024-22 
Date of Issue 2024-07-10 (SR) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SR2024-22

Conference Information
Committee RCC RCS SeMI NS SR RISING  
Conference Date 2024-07-17 - 2024-07-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Citizens Activities Promotion Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SR 
Conference Code 2024-07-RCC-RCS-SeMI-NS-SR-RISING 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Random Walk SGD for Fault-Tolerance Decentralized Federated Learning 
Sub Title (in English)  
Keyword(1) Federated Learning  
Keyword(2) Decentralized Stochastic Gradient Descent  
Keyword(3) Anomaly Detection  
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1st Author's Name Yuta Tomimasu  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Koya Sato  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2024-07-17 10:00:00 
Presentation Time 15 minutes 
Registration for SR 
Paper # SR2024-22 
Volume (vol) vol.124 
Number (no) no.108 
Page pp.1-3 
#Pages 3 
Date of Issue 2024-07-10 (SR) 

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