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| Paper Abstract and Keywords | ||
| Presentation | 2022-09-15 13:25 Fuzzy Logic based Client Selection for Federated Learning in IoT Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC)  CQ2022-29 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the rapid development of IoT, more and more advanced sensor devices are used to collect and process a large number of datasets. In order to protect user privacy while training machine learning models with multiple datasets, federated learning (FL) is introduced. Due to the heterogeneity of different IoT devices, the client selection method may greatly impact the performance of federated learning. In this paper, we introduce an enhanced version of a previous approach to address the client selection issue in a realistic FL environment. The proposed method considers the number of local data, computing capability, and network resources of each client participating in FL based on fuzzy logic. Then, the most suitable clients are selected for federated learning to get higher performance. Moreover, we use Raspberry Pi and laptops as FL clients and verify the superiority of the proposed method through extensive experiments. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Federated Learning / Client Selection / Fuzzy Logic / IoT / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 184, CQ2022-29, pp. 36-41, Sept. 2022. | |
| Paper # | CQ2022-29 | |
| 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 | CQ2022-29 |
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| 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) | Fuzzy Logic based Client Selection for Federated Learning in IoT |
| Sub Title (in English) | |
| Keyword(1) | Federated Learning |
| Keyword(2) | Client Selection |
| Keyword(3) | Fuzzy Logic |
| Keyword(4) | IoT |
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| 1st Author's Name | Zhaoyang Du |
| 1st Author's Affiliation | University of Electro-Communications (UEC) |
| 2nd Author's Name | Celimuge Wu |
| 2nd Author's Affiliation | University of Electro-Communications (UEC) |
| 3rd Author's Name | Tsutomu Yoshinaga |
| 3rd Author's Affiliation | University of Electro-Communications (UEC) |
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| Speaker | Author-1 |
| Date Time | 2022-09-15 13:25:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2022-29 |
| Volume (vol) | vol.122 |
| Number (no) | no.184 |
| Page | pp.36-41 |
| #Pages | 6 |
| Date of Issue | 2022-09-08 (CQ) |
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