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Paper Abstract and Keywords
Presentation 2022-09-15 16:00
DRL-assisted Network Selection for Federated Learning
Ganggui Wang, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2022-34
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, with the development of wireless communication technologies such as 5G, more and more devices communicate through wireless networks. Devices participating in federated learning will not be an exception. The performance of federated learning based on wireless communication is bound to be affected by the wireless communication environment. We discuss network selection for federated learning devices that can use different types of networks, including mmWave, and propose a deep reinforcement learning-based algorithm. The relationship among federated learning, wireless network, and deep reinforcement learning is considered. Finally, we analyze the results of computer simulation and evaluate the proposed algorithm.
Keyword (in Japanese) (See Japanese page) 
(in English) Federated Learning / Reinforcement Learning / Wireless Communication / Millimeter Wave / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 184, CQ2022-34, pp. 56-61, Sept. 2022.
Paper # CQ2022-34 
Date of Issue 2022-09-08 (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 CQ2022-34

Conference Information
Committee IA CQ MIKA  
Conference Date 2022-09-15 - 2022-09-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Citizens Actives Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communications Quality, 6G, IoT, Cross layer Technologies, Internet Operation and Management, etc. 
Paper Information
Registration To CQ 
Conference Code 2022-09-IA-CQ-MIKA 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) DRL-assisted Network Selection for Federated Learning 
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Keyword(1) Federated Learning  
Keyword(2) Reinforcement Learning  
Keyword(3) Wireless Communication  
Keyword(4) Millimeter Wave  
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1st Author's Name Ganggui Wang  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Celimuge Wu  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Tsutomu Yoshinaga  
3rd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2022-09-15 16:00:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2022-34 
Volume (vol) vol.122 
Number (no) no.184 
Page pp.56-61 
#Pages 6 
Date of Issue 2022-09-08 (CQ) 

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