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Paper Abstract and Keywords
Presentation 2023-05-18 18:20
Mobility-Aware Timing Control of Parameter Aggregation in Edge Federated Learning
Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. of Tech.), Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki (Univ. of Tokyo) SeMI2023-7
Abstract (in Japanese) (See Japanese page) 
(in English) Services that utilize region-specific data collected by onboard vehicle sensors have been attracting attention.
In these studies, vehicles and edge servers collaborate to perform federated learning; however, they do not consider the issue of learning results not being reflected when a vehicle moves out of the server's communication range during learning. Furthermore, the server sets a timeout for aggregating learning models, resulting in time overhead for the learning process. To address these issues, we propose a method that transmits the learning model to the server, even if incomplete, before the vehicle moves out of the edge server's communication range. Simulation evaluations demonstrate that the number of aggregated models increases and learning efficiency improves due to the absence of time overhead.
Keyword (in Japanese) (See Japanese page) 
(in English) Federated learning / Parameter aggregation / Location information / Edge computing / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 31, SeMI2023-7, pp. 26-29, May 2023.
Paper # SeMI2023-7 
Date of Issue 2023-05-11 (SeMI) 
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)
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Conference Information
Committee SeMI IPSJ-ITS IPSJ-MBL IPSJ-DPS  
Conference Date 2023-05-18 - 2023-05-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology (OIST) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2023-05-SeMI-ITS-MBL-DPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mobility-Aware Timing Control of Parameter Aggregation in Edge Federated Learning 
Sub Title (in English)  
Keyword(1) Federated learning  
Keyword(2) Parameter aggregation  
Keyword(3) Location information  
Keyword(4) Edge computing  
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1st Author's Name Shota Ono  
1st Author's Affiliation The University of Tokyo (Univ. of Tokyo)
2nd Author's Name Taku Yamazaki  
2nd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
3rd Author's Name Takumi Miyoshi  
3rd Author's Affiliation Shibaura Institute of Technology (Shibaura Inst. of Tech.)
4th Author's Name Akihito Taya  
4th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
5th Author's Name Yuuki Nishiyama  
5th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
6th Author's Name Kaoru Sezaki  
6th Author's Affiliation The University of Tokyo (Univ. of Tokyo)
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Speaker Author-1 
Date Time 2023-05-18 18:20:00 
Presentation Time 15 minutes 
Registration for SeMI 
Paper # SeMI2023-7 
Volume (vol) vol.123 
Number (no) no.31 
Page pp.26-29 
#Pages
Date of Issue 2023-05-11 (SeMI) 


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