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 |
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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SeMI2022-77 |
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) |
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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) |
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Keyword(1) |
Split computing |
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Joint control |
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Machine learning |
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Wireless LAN |
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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 |
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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 |
2 |
Date of Issue |
2023-01-12 (SeMI) |
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