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Paper Abstract and Keywords
Presentation 2022-11-18 10:30
Topology analysis in the P2P Federated Learning
Yoshihiko Ito, Hideya Ochiai, Hiroshi Esaki (Univ, Tokyo) CAS2022-50 MSS2022-33
Abstract (in Japanese) (See Japanese page) 
(in English) P2P Federated Learning is a method of distributed machine learning and the cost of model trading becomes too huge in a large-scale topology. The purpose of this study is to seek a topology that solves cost problems and reduces the influence of Non-IID, allows nodes to add and remove. To achieve these goals, I introduce hierarchy topology.Nodes are divided into several groups and models traded within the group. After that, they traded between groups. The experimental results prove that the new method is better than conventional topology and classifying similar data distributions into the same group shows excellent results.
Keyword (in Japanese) (See Japanese page) 
(in English) topology / P2P Federated Learning / Non-IID / grouping / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 254, MSS2022-33, pp. 63-66, Nov. 2022.
Paper # MSS2022-33 
Date of Issue 2022-11-10 (CAS, MSS) 
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 CAS2022-50 MSS2022-33

Conference Information
Committee CAS MSS IPSJ-AL  
Conference Date 2022-11-17 - 2022-11-18 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2022-11-CAS-MSS-AL 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Topology analysis in the P2P Federated Learning 
Sub Title (in English)  
Keyword(1) topology  
Keyword(2) P2P Federated Learning  
Keyword(3) Non-IID  
Keyword(4) grouping  
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1st Author's Name Yoshihiko Ito  
1st Author's Affiliation The University of Tokyo (Univ, Tokyo)
2nd Author's Name Hideya Ochiai  
2nd Author's Affiliation The University of Tokyo (Univ, Tokyo)
3rd Author's Name Hiroshi Esaki  
3rd Author's Affiliation The University of Tokyo (Univ, Tokyo)
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Speaker Author-1 
Date Time 2022-11-18 10:30:00 
Presentation Time 20 minutes 
Registration for MSS 
Paper # CAS2022-50, MSS2022-33 
Volume (vol) vol.122 
Number (no) no.253(CAS), no.254(MSS) 
Page pp.63-66 
#Pages 4 
Date of Issue 2022-11-10 (CAS, MSS) 

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