Paper Abstract and Keywords |
Presentation |
2021-11-18 09:00
Design and Implementation of a Distributed Building Control Simulator for Federated Learning Shugo Fujimura, Koki Fujita, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai (UTokyo) CAS2021-37 MSS2021-17 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Toward a sustainable society in the 2050s, zero-energy buildings have been proposed, which consume virtually no energy by utilizing various facilities and data. However, conventional methods that collect sensor data in the cloud and train models in a centralized manner may pose privacy and security issues.
One way to protect such data is through federated learning, where models are trained on edge devices and then aggregated in the cloud. In this presentation, we describe the design and implementation of a simulator that can run tens or hundreds of thousands of buildings simultaneously, which was created to apply the federated learning to building control. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Building Control / Federated Learning / Reinforcement Learning / Simulator / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 250, MSS2021-17, pp. 1-6, Nov. 2021. |
Paper # |
MSS2021-17 |
Date of Issue |
2021-11-11 (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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CAS2021-37 MSS2021-17 |
Conference Information |
Committee |
MSS CAS IPSJ-AL |
Conference Date |
2021-11-18 - 2021-11-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
MSS |
Conference Code |
2021-11-MSS-CAS-AL |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Design and Implementation of a Distributed Building Control Simulator for Federated Learning |
Sub Title (in English) |
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Keyword(1) |
Building Control |
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Federated Learning |
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Reinforcement Learning |
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Simulator |
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1st Author's Name |
Shugo Fujimura |
1st Author's Affiliation |
The University of Tokyo (UTokyo) |
2nd Author's Name |
Koki Fujita |
2nd Author's Affiliation |
The University of Tokyo (UTokyo) |
3rd Author's Name |
Yuwei Sun |
3rd Author's Affiliation |
The University of Tokyo (UTokyo) |
4th Author's Name |
Hiroshi Esaki |
4th Author's Affiliation |
The University of Tokyo (UTokyo) |
5th Author's Name |
Hideya Ochiai |
5th Author's Affiliation |
The University of Tokyo (UTokyo) |
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Speaker |
Author-1 |
Date Time |
2021-11-18 09:00:00 |
Presentation Time |
25 minutes |
Registration for |
MSS |
Paper # |
CAS2021-37, MSS2021-17 |
Volume (vol) |
vol.121 |
Number (no) |
no.249(CAS), no.250(MSS) |
Page |
pp.1-6 |
#Pages |
6 |
Date of Issue |
2021-11-11 (CAS, MSS) |
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