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| Presentation | 2022-11-18 10:10 Wide Area Localization Using Autonomous Distributed Cooperative Learning with Wi-Fi Signal Strength Yusuke Sugizaki, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo)  CAS2022-49 MSS2022-32 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Although there have been previous studies on localization using Wi-Fi signal information, this study proposes a method using machine learning for a self-location estimation task that obtains the current location based on the received Wi-Fi signal strength. In addition, as an application of Wireless Ad-Hoc Federated Learning (WAFL), we will verify self-location estimation by Wi-Fi using WAFL, and aim to create a machine learning model that performs wide-area localization only by ad-hoc communication between nodes. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Ad-Hoc Network / Decentralized Deep Learning / Federated Learning / Localization / Wi-Fi / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 254, MSS2022-32, pp. 59-62, Nov. 2022. | |
| Paper # | MSS2022-32 | |
| Date of Issue | 2022-11-10 (CAS, MSS) | |
| 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 | CAS2022-49 MSS2022-32 |
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| Conference Information | |
| Committee | CAS MSS IPSJ-AL |
| Conference Date | 2022-11-17 - 2022-11-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2022-11-CAS-MSS-AL |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Wide Area Localization Using Autonomous Distributed Cooperative Learning with Wi-Fi Signal Strength |
| Sub Title (in English) | |
| Keyword(1) | Ad-Hoc Network |
| Keyword(2) | Decentralized Deep Learning |
| Keyword(3) | Federated Learning |
| Keyword(4) | Localization |
| Keyword(5) | Wi-Fi |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yusuke Sugizaki |
| 1st Author's Affiliation | The University of Tokyo (Univ. Tokyo) |
| 2nd Author's Name | Hideya Ochiai |
| 2nd Author's Affiliation | The University of Tokyo (Univ. Tokyo) |
| 3rd Author's Name | Hiroshi Esaki |
| 3rd Author's Affiliation | The University of Tokyo (Univ. Tokyo) |
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| Speaker | Author-1 |
| Date Time | 2022-11-18 10:10:00 |
| Presentation Time | 20 minutes |
| Registration for | MSS |
| Paper # | CAS2022-49, MSS2022-32 |
| Volume (vol) | vol.122 |
| Number (no) | no.253(CAS), no.254(MSS) |
| Page | pp.59-62 |
| #Pages | 4 |
| Date of Issue | 2022-11-10 (CAS, MSS) |
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