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| Paper Abstract and Keywords | ||
| Presentation | 2023-09-12 14:35 Cooperative Agents for Federated Learning of Neural Machine Translation Kantaro Kitagawa (Ritsumeikan Univ), Zhang Yuwang, Yohei Murakami (Ritsumeikan Univ)  AI2023-28 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Accurate neural machine translation requires large amounts of high-quality bilingual data, however due to the copyright and confidentiality issues, it is difficult to share the bilingual data between different organizations. With federal learning, multiple clients can collaboratively build a neural machine translation model and share only the translation model while keeping their own data confidential. However, if the domain of bilingual data differs among clients, the translation accuracy is not necessarily improved by integrating all translation models. Therefore, we propose a cooperative agent that dynamically selects a cooperative partner and integrates translation models in each aggregation process in cooperative learning. Compared to conventional cooperative learning methods, our method can improve the translation accuracy of each client by 22.7% on average. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Federated Learning / Neural Networks / Machine Translation / Agents / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 190, AI2023-28, pp. 161-166, Sept. 2023. | |
| Paper # | AI2023-28 | |
| Date of Issue | 2023-09-05 (AI) | |
| 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 | AI2023-28 |
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| Conference Information | |
| Committee | AI |
| Conference Date | 2023-09-12 - 2023-09-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | AI |
| Conference Code | 2023-09-AI |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Cooperative Agents for Federated Learning of Neural Machine Translation |
| Sub Title (in English) | |
| Keyword(1) | Federated Learning |
| Keyword(2) | Neural Networks |
| Keyword(3) | Machine Translation |
| Keyword(4) | Agents |
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| 1st Author's Name | Kantaro Kitagawa |
| 1st Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ) |
| 2nd Author's Name | Zhang Yuwang |
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| 3rd Author's Name | Yohei Murakami |
| 3rd Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ) |
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| Speaker | Author-1 |
| Date Time | 2023-09-12 14:35:00 |
| Presentation Time | 20 minutes |
| Registration for | AI |
| Paper # | AI2023-28 |
| Volume (vol) | vol.123 |
| Number (no) | no.190 |
| Page | pp.161-166 |
| #Pages | 6 |
| Date of Issue | 2023-09-05 (AI) |
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