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Paper Abstract and Keywords
Presentation 2022-03-04 15:55
Federated Learning with Correlated Sensing Data in Wireless Networks
Keita Hibari, Masaya Kambara, Tomotaka Kimura, Jun Cheng (Doshisha Univ) CAS2021-99 CS2021-101
Abstract (in Japanese) (See Japanese page) 
(in English) Federated leaning in wireless networks is considered where devices are gathered in several locations and the sensing data of the devices in each location are correlated. A device which wants to participate in the training sends a reservation signal to the server at its randomly assigned slot, and devices which detect the signal will not participate in the training. As a result, both of the amount of training computation in the systems and communication traffic between devices and the server are reduced. Simulations show that the recognition accuracy of MINST dataset with the proposed training method has no much degradation, compared with the all-device training.
Keyword (in Japanese) (See Japanese page) 
(in English) Correlated sensing data / Autonomous device selection / Neural networks / Wireless federated learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 395, CS2021-101, pp. 136-140, March 2022.
Paper # CS2021-101 
Date of Issue 2022-02-24 (CAS, CS) 
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 CAS2021-99 CS2021-101

Conference Information
Committee CAS CS  
Conference Date 2022-03-03 - 2022-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network processor, Signal processing and circuits for communications, Wireless LAN / PAN, etc. 
Paper Information
Registration To CS 
Conference Code 2022-03-CAS-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Federated Learning with Correlated Sensing Data in Wireless Networks 
Sub Title (in English)  
Keyword(1) Correlated sensing data  
Keyword(2) Autonomous device selection  
Keyword(3) Neural networks  
Keyword(4) Wireless federated learning  
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1st Author's Name Keita Hibari  
1st Author's Affiliation Doshisha University (Doshisha Univ)
2nd Author's Name Masaya Kambara  
2nd Author's Affiliation Doshisha University (Doshisha Univ)
3rd Author's Name Tomotaka Kimura  
3rd Author's Affiliation Doshisha University (Doshisha Univ)
4th Author's Name Jun Cheng  
4th Author's Affiliation Doshisha University (Doshisha Univ)
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Speaker Author-1 
Date Time 2022-03-04 15:55:00 
Presentation Time 25 minutes 
Registration for CS 
Paper # CAS2021-99, CS2021-101 
Volume (vol) vol.121 
Number (no) no.394(CAS), no.395(CS) 
Page pp.136-140 
#Pages
Date of Issue 2022-02-24 (CAS, CS) 


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