Technology of Information Security
|
236-239,248

PCA differential privacy data publishing algorithm in horizontal federated learning

Zhu Xiaoa
Yang Gengb
a. College of Computer Science, b. Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, University of Posts & Telecommunications, Nanjing 210023, China

Abstract

To allow different organizations to jointly use PCA for dimensionality reduction and data release under the premise of protecting the privacy of local sensitive data and the data released after dimensionality reduction, this paper proposed a horizontal federated PCA differential privacy data publishing algorithm. It introduced a random seed joint negotiation scheme to generate the same noise matrix between sites with less communication cost. It proposed a local noise averaging scheme, and added the averaging noise to the local covariance matrix. On the one hand, it protected local data privacy. On the other hand, it reduced the amount of noise added and achieved the same noise level as the centralized differential privacy PCA algorithm. Compared with similar algorithms, the amount of noise added was reduced. The experiment evaluates the algorithm from the perspective of privacy and utility, and proves that the algorithm has higher utility compared with similar algorithms.

Foundation Support

国家自然科学基金面上项目(61872197,61972209)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0234
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 1
Section: Technology of Information Security
Pages: 236-239,248
Serial Number: 1001-3695(2022)01-041-0236-04

Publish History

[2021-08-31] Accepted Paper
[2022-01-05] Printed Article

Cite This Article

朱骁, 杨庚. 横向联邦学习中PCA差分隐私数据发布算法 [J]. 计算机应用研究, 2022, 39 (1): 236-239,248. (Zhu Xiao, Yang Geng. PCA differential privacy data publishing algorithm in horizontal federated learning [J]. Application Research of Computers, 2022, 39 (1): 236-239,248. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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