Paper Abstract and Keywords |
Presentation |
2023-03-23 16:25
Evaluation of Bit-Reduced Homomorphic Encryption Library on Intel Xeon and Fujitsu A64FX Masaki Nishi, Teppei Shishido, Xinyi Li, Keiji Kimura (Waseda Univ.), Kentaro Sano (RIKEN) CPSY2022-38 DC2022-97 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
As deep learning is used in various applications, the protection of training data, input data, inference results, and training models is becoming an issue. Therefore, deep learning with homomorphic encryption, which can perform operations while keeping the data encrypted, has been attracting attention. However, the computational cost of homomorphic encryption is high, and various speed-up methods such as parallelization and use of hardware accelerators have been proposed. On the other hand, the authors have focused on the fact that deep learning inference does not require a large number of bits, and have proposed a deep learning inference method using a bit-reduced version of homomorphic encryption. In this paper, we first implemented the bit-reduced deep learning process on the homomorphic encryption library SEAL and the deep learning framework HE-Transformer, which uses SEAL, and evaluated them on an Intel Xeon processor. In addition, we implemented and evaluated a bit-reduced version of the homomorphic encryption on a Fujitsu A64FX. As a result of the evaluation, we achieved a maximum speedup of 9.37 times on the Intel Xeon processor compared to the original nGraph-HE2 in the classification of MNIST datasets using CryptoNets. The evaluation of matrix products on Fujitsu A64FX showed a speedup of up to 1.08x compared to Intel Xeon W-2145. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Homomorphic Encryption / Deep Learning / SIMD / Parallelization / A64FX / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 451, CPSY2022-38, pp. 25-30, March 2023. |
Paper # |
CPSY2022-38 |
Date of Issue |
2023-03-16 (CPSY, DC) |
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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CPSY2022-38 DC2022-97 |
Conference Information |
Committee |
DC CPSY IPSJ-SLDM IPSJ-EMB IPSJ-ARC |
Conference Date |
2023-03-23 - 2023-03-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Amagi Town Disaster Prevention Center (Tokunoshima) |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
CPSY |
Conference Code |
2023-03-DC-CPSY-SLDM-EMB-ARC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Evaluation of Bit-Reduced Homomorphic Encryption Library on Intel Xeon and Fujitsu A64FX |
Sub Title (in English) |
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Keyword(1) |
Homomorphic Encryption |
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Deep Learning |
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SIMD |
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Parallelization |
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A64FX |
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1st Author's Name |
Masaki Nishi |
1st Author's Affiliation |
Waseda University (Waseda Univ.) |
2nd Author's Name |
Teppei Shishido |
2nd Author's Affiliation |
Waseda University (Waseda Univ.) |
3rd Author's Name |
Xinyi Li |
3rd Author's Affiliation |
Waseda University (Waseda Univ.) |
4th Author's Name |
Keiji Kimura |
4th Author's Affiliation |
Waseda University (Waseda Univ.) |
5th Author's Name |
Kentaro Sano |
5th Author's Affiliation |
Center for Computational Science (RIKEN) |
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Speaker |
Author-1 |
Date Time |
2023-03-23 16:25:00 |
Presentation Time |
25 minutes |
Registration for |
CPSY |
Paper # |
CPSY2022-38, DC2022-97 |
Volume (vol) |
vol.122 |
Number (no) |
no.451(CPSY), no.452(DC) |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2023-03-16 (CPSY, DC) |
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