| Paper Abstract and Keywords |
| Presentation |
2024-10-17 10:40
Distributed Sequential Minimal Optimization Algorithm for Linear Support Vector Machines Zhifu Xu, Kim Saidi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS2024-30 NLP2024-60 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this report, we propose a distributed Sequential Minimal Optimization (SMO) algorithm for multiple agents communicating with each other to obtain a single linear support vector machine model. An important feature of the proposed algorithm is that it accurately executes the original SMO algorithm, while some of the data held by each agent are shared with other agents. We also present an implementation of the proposed algorithm, leveraging the Message Passing Interface (MPI). Our approach distributes the training dataset across multiple processors, allowing concurrent updates of the Lagrange multipliers, which are crucial in the SMO algorithm. The efficiency of the proposed algorithm and implementation based on MPI is shown through experiments using a real dataset. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
distributed algorithms / machine learning / support vector machines / sequential minimal optimization / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 208, NLP2024-60, pp. 16-20, Oct. 2024. |
| Paper # |
NLP2024-60 |
| Date of Issue |
2024-10-10 (CAS, NLP) |
| 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 |
CAS2024-30 NLP2024-60 |
| Conference Information |
| Committee |
NLP CAS |
| Conference Date |
2024-10-17 - 2024-10-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Information Center, Tottori University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Nonlinear Problems, Circuits and Systems, etc. |
| Paper Information |
| Registration To |
NLP |
| Conference Code |
2024-10-NLP-CAS |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Distributed Sequential Minimal Optimization Algorithm for Linear Support Vector Machines |
| Sub Title (in English) |
|
| Keyword(1) |
distributed algorithms |
| Keyword(2) |
machine learning |
| Keyword(3) |
support vector machines |
| Keyword(4) |
sequential minimal optimization |
| Keyword(5) |
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| 1st Author's Name |
Zhifu Xu |
| 1st Author's Affiliation |
Okayama University (Okayama Univ.) |
| 2nd Author's Name |
Kim Saidi |
| 2nd Author's Affiliation |
Okayama University (Okayama Univ.) |
| 3rd Author's Name |
Tsuyoshi Migita |
| 3rd Author's Affiliation |
Okayama University (Okayama Univ.) |
| 4th Author's Name |
Norikazu Takahashi |
| 4th Author's Affiliation |
Okayama University (Okayama Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-10-17 10:40:00 |
| Presentation Time |
20 minutes |
| Registration for |
NLP |
| Paper # |
CAS2024-30, NLP2024-60 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.207(CAS), no.208(NLP) |
| Page |
pp.16-20 |
| #Pages |
5 |
| Date of Issue |
2024-10-10 (CAS, NLP) |