Paper Abstract and Keywords |
Presentation |
2022-11-18 14:05
Unsupervised Representation Learning over Decentralized Federated Learning Haruki Sakurai, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-54 MSS2022-37 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Contrastive Learning is a form of self-supervised learning, a method for learning a general-purpose encoder using a large unlabeled dataset.
As one of the pre-training methods, it has been actively studied since around 2020.
On the other hand, it is expected to become more and more difficult to collect datasets for pre-training models as people become more privacy-conscious.
Decentralized Federated Learning is one of the solution for this problem,
which can learn models without sharing private data and using cetral server.
In this study, we propose how Contrastive Learning can learn over Decentralized Federated Learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Federated Learning / Distributed Learning / Self-supervised Learning / Contrastive Learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 254, MSS2022-37, pp. 79-82, Nov. 2022. |
Paper # |
MSS2022-37 |
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) |
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CAS2022-54 MSS2022-37 |
Conference Information |
Committee |
CAS MSS IPSJ-AL |
Conference Date |
2022-11-17 - 2022-11-18 |
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(See Japanese page) |
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Paper Information |
Registration To |
MSS |
Conference Code |
2022-11-CAS-MSS-AL |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Unsupervised Representation Learning over Decentralized Federated Learning |
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Federated Learning |
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Distributed Learning |
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Self-supervised Learning |
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Contrastive Learning |
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1st Author's Name |
Haruki Sakurai |
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 |
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The University of Tokyo (Univ. Tokyo) |
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Speaker |
Author-1 |
Date Time |
2022-11-18 14:05:00 |
Presentation Time |
20 minutes |
Registration for |
MSS |
Paper # |
CAS2022-54, MSS2022-37 |
Volume (vol) |
vol.122 |
Number (no) |
no.253(CAS), no.254(MSS) |
Page |
pp.79-82 |
#Pages |
4 |
Date of Issue |
2022-11-10 (CAS, MSS) |
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