Privacy-preserving distributed calculation methods of a least-squares estimator for linear regression models

研究成果: Article

1 引用 (Scopus)

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In this paper, we study a privacy preserving linear regression analysis. We propose a new protocol of a distributed calculation method that calculates a least squares estimator, in the case that two parties have different types of explanatory variables. We show the security of privacy in the proposed protocol. Because the protocol have iterative calculations, we evaluate the number of iterations via numerical experiments. Finally, we show an extended protocol that is a distributed calculation method for k parties.

元の言語English
ページ(範囲)78-88
ページ数11
ジャーナルJournal of Japan Industrial Management Association
65
発行部数2
出版物ステータスPublished - 2014 1 1

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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