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Paper Abstract and Keywords
Presentation 2024-06-27 09:00
[Poster Presentation] Efficient Training Data Gathering with Wireless Multi-hop Network for Federated Learning
Erdenetuya Dorj (MUST), Kazuhiko Kinoshita (Tokushima Univ.), Altangerel Ayush (MUST) CQ2024-29
Abstract (in Japanese) (See Japanese page) 
(in English) The performance of machine learning relies on the quantity and quality of training data from various sources to build
a robust model. Especially, in distributed learning such as FL, data gathering for multiple servers is one of the most important
elements for efficient learning. On the other hand, in recent years, there are so many IoT devices with wireless communication
and sensing capability everywhere. A wireless multi-hop network consists of these devices has a potential to provide any kinds
of data efficiently. In general, however, wireless multi-hop networks face several issues, such as internal and external interference
and instability of the bandwidth of the links. These issues make it challenging to efficiently receive large amounts of data from
multiple sources for multiple servers. Therefore, in this research, we propose a new routing protocol for efficient training data
gathering.
Keyword (in Japanese) (See Japanese page) 
(in English) federated learning / wireless multi-hop network / routing protocol / LoRa / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 90, CQ2024-29, pp. 44-45, June 2024.
Paper # CQ2024-29 
Date of Issue 2024-06-19 (CQ) 
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 CQ2024-29

Conference Information
Committee CQ  
Conference Date 2024-06-26 - 2024-06-28 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CQ 
Conference Code 2024-06-CQ 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Efficient Training Data Gathering with Wireless Multi-hop Network for Federated Learning 
Sub Title (in English)  
Keyword(1) federated learning  
Keyword(2) wireless multi-hop network  
Keyword(3) routing protocol  
Keyword(4) LoRa  
Keyword(5)  
Keyword(6)  
Keyword(7)  
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1st Author's Name Erdenetuya Dorj  
1st Author's Affiliation Mongolian University of Science and Technology (MUST)
2nd Author's Name Kazuhiko Kinoshita  
2nd Author's Affiliation Tokushima University (Tokushima Univ.)
3rd Author's Name Altangerel Ayush  
3rd Author's Affiliation Mongolian University of Science and Technology (MUST)
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Speaker Author-1 
Date Time 2024-06-27 09:00:00 
Presentation Time 60 minutes 
Registration for CQ 
Paper # CQ2024-29 
Volume (vol) vol.124 
Number (no) no.90 
Page pp.44-45 
#Pages 2 
Date of Issue 2024-06-19 (CQ) 

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