| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2025-07-24 |
| タイトル |
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|
タイトル |
Neural Gas method using autonomous and secure distributed processing with decomposed data |
|
言語 |
en |
| 言語 |
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|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
neural Gas |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
k-means, autonomous system |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
secure distributed system |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
decomposed data and parameters |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 著者 |
Miyajima, Hirofumi
Shigei, Noritaka
Miyajima, Hiromi
Shiratori, Norio
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| 抄録 |
|
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内容記述タイプ |
Abstract |
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内容記述 |
This paper proposes an autonomous and secure distributed Neural Gas (NG) method using decomposed data on multiple servers uniformly distributed in a ring shape and connected only to neighboring servers. The advantages of the proposed method are that learning can be performed with decomposed data and parameters, thus ensuring the confidentiality of the data and parameters; the distributed processing system is easy to connect; and servers can be easily added or removed because of the uniform structure where all servers perform the same operations. There are two types of learning targeted by the secure distributed processing: supervised and unsupervised learning. In the previous paper, we proposed the Back Propatation (BP) method as an example of the former. Here, we propose the NG and k-means methods as examples of the latter. The advantage of unsupervised learning is that it can discover trends and segments found in given data without labels (correct answers) for machine learning. Since there is no need to obtain correct answer data in advance, this learning method can be used for a wider range of tasks. The effectiveness of the proposed NG and k-means methods of secure distributed processing is demonstrated by comparing it with conventional methods through numerical simulations of clustering. |
|
言語 |
en |
| 書誌情報 |
en : Nonlinear Theory and Its Applications, IEICE
巻 16,
号 3,
p. 377-389,
発行日 2025-07-01
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| 出版者 |
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出版者 |
Institute of Electronics Information Communication Engineers |
|
言語 |
en |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2185-4106 |
| DOI |
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|
関連タイプ |
isIdenticalTo |
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|
識別子タイプ |
DOI |
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関連識別子 |
10.1587/nolta.16.377 |
| 権利 |
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|
権利情報 |
© 2025 The Institute of Electronics, Information and Communication Engineers This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license. https://creativecommons.org/licenses/by-nc-nd/4.0/. |
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言語 |
en |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 引用 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Nonlinear Theory and its Applications, IEICE, 16(3), pp.377-389; 2025 |
|
言語 |
en |
NTIAIEICE16_377.pdf (512 KB)
