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| Presentation | 2020-12-17 12:15 Processing allocation algorithm for distributed deep learning in wireless sensor networks Karin Umeda, Takashi Nishitsuji, Takuya Asaka (Tokyo Metropolitan Univ.), Takumi Miyoshi (Shibaura Inst. of Tech.)  NS2020-90 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In wireless sensor networks, distributed processing technology for deep learning that utilizes edge computing and mobile terminals has been attracting interest. However, although the existing methods improve the data processing speed, there is a problem in which the amount of communication and the load on the server increase. Therefore, in this research, we propose a distributed processing method and processing allocation algorithm that allocates the intermediate layer of deep learning to sensor nodes. In addition, an example of processing allocation using the computational complexity of an actual deep learning model is shown to verify the effectiveness of the proposed method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Wireless Sensor Network / Deep Learning / Load Distribution / Distributed Processing / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 297, NS2020-90, pp. 17-22, Dec. 2020. | |
| Paper # | NS2020-90 | |
| Date of Issue | 2020-12-10 (NS) | |
| 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 | NS2020-90 |
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| Conference Information | |
| Committee | NS RCS |
| Conference Date | 2020-12-17 - 2020-12-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2020-12-NS-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Processing allocation algorithm for distributed deep learning in wireless sensor networks |
| Sub Title (in English) | |
| Keyword(1) | Wireless Sensor Network |
| Keyword(2) | Deep Learning |
| Keyword(3) | Load Distribution |
| Keyword(4) | Distributed Processing |
| Keyword(5) | |
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| 1st Author's Name | Karin Umeda |
| 1st Author's Affiliation | Tokyo Metropolitan University (Tokyo Metropolitan Univ.) |
| 2nd Author's Name | Takashi Nishitsuji |
| 2nd Author's Affiliation | Tokyo Metropolitan University (Tokyo Metropolitan Univ.) |
| 3rd Author's Name | Takuya Asaka |
| 3rd Author's Affiliation | Tokyo Metropolitan University (Tokyo Metropolitan Univ.) |
| 4th Author's Name | Takumi Miyoshi |
| 4th Author's Affiliation | Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
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| Speaker | Author-1 |
| Date Time | 2020-12-17 12:15:00 |
| Presentation Time | 25 minutes |
| Registration for | NS |
| Paper # | NS2020-90 |
| Volume (vol) | vol.120 |
| Number (no) | no.297 |
| Page | pp.17-22 |
| #Pages | 6 |
| Date of Issue | 2020-12-10 (NS) |
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