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Paper Abstract and Keywords
Presentation 2023-01-19 14:10
[Short Paper] A Study of Joint Control Method of Wireless LAN and Machine Learning Settings for Communication-efficient Split Computing
Kojin Yorita, Takayuki Nishio (Tokyo Tech), Daiki Yoda, Toshihisa Nabetani (Toshiba) SeMI2022-77
Abstract (in Japanese) (See Japanese page) 
(in English) Split computing (SC) enables machine learning (ML) inference with a deep neural network on resource-constrained devices. However, a narrow-bandwidth and lossy wireless network can become a bottleneck, thereby increasing communication latency in SC due to retransmission and the use of lower physical transmission rate. To solve this trade-off between communication latency and inference accuracy, this paper studies a joint control of the wireless communication parameters (e.g., transmission rate, retransmission limit) and ML model to reduce communication latency and improve inference accuracy. The proposed method focuses on the packet-loss tolerance of ML inference and uses unreliable (i.e., high packet-loss rate) but low-latency communication protocol. To achieve a well-balanced trade-off between communication latency and inference accuracy, the proposed method jointly controls wireless communication parameters affecting the reliability and communication latency and ML model architecture affecting inference accuracy and packet-loss reliance, based on multi-armed bandit (MAB) algorithm, namely upper confidence bound (UCB) algorithm. The results of ns3-based computer simulations show that the proposed method reduces communication latency and improves inference accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Split computing / Joint control / Machine learning / Wireless LAN / Reinforcement Learning / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 341, SeMI2022-77, pp. 28-29, Jan. 2023.
Paper # SeMI2022-77 
Date of Issue 2023-01-12 (SeMI) 
ISSN Online edition: ISSN 2432-6380
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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 SeMI  
Conference Date 2023-01-19 - 2023-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Naruto grand hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2023-01-SeMI-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Joint Control Method of Wireless LAN and Machine Learning Settings for Communication-efficient Split Computing 
Sub Title (in English)  
Keyword(1) Split computing  
Keyword(2) Joint control  
Keyword(3) Machine learning  
Keyword(4) Wireless LAN  
Keyword(5) Reinforcement Learning  
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1st Author's Name Kojin Yorita  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Takayuki Nishio  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Daiki Yoda  
3rd Author's Affiliation Toshiba (Toshiba)
4th Author's Name Toshihisa Nabetani  
4th Author's Affiliation Toshiba (Toshiba)
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Speaker Author-1 
Date Time 2023-01-19 14:10:00 
Presentation Time 10 minutes 
Registration for SeMI 
Paper # SeMI2022-77 
Volume (vol) vol.122 
Number (no) no.341 
Page pp.28-29 
#Pages
Date of Issue 2023-01-12 (SeMI) 


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