Presentation 2012-11-07
A Privacy Preserving Distributed Calculation Method of Least-squares Estimator for Linear Regression Models
Tota SUKO, Shunsuke HORII, Manabu KOBAYASHI, Masayuki GOTO, Toshiyasu MATSUSHIMA, Shigeichi HIRASAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we study a privacy preserving linear regression analysis. We propose a new protocol of distributed calculation method that calculates a least squares estimator, in case that two parties have different types of explanatory variables. We show security of privacy in the proposed protocol. Because the protocol have iterative calculation, we evaluate the number of iterations with numerical experiments. Finally, we show an extended protocol that is a distributed calculation method for κ parties.
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Keyword(in English) linear regression model / least-square method / privacy preserving / distributed computation
Paper # IBISML2012-49
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Committee IBISML
Conference Date 2012/10/31(1days)
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Registration To Information-Based Induction Sciences and Machine Learning (IBISML)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Privacy Preserving Distributed Calculation Method of Least-squares Estimator for Linear Regression Models
Sub Title (in English)
Keyword(1) linear regression model
Keyword(2) least-square method
Keyword(3) privacy preserving
Keyword(4) distributed computation
1st Author's Name Tota SUKO
1st Author's Affiliation Waseda University()
2nd Author's Name Shunsuke HORII
2nd Author's Affiliation Waseda University
3rd Author's Name Manabu KOBAYASHI
3rd Author's Affiliation Department of Information Science, School of Engineering, Shonan Institute of Technology
4th Author's Name Masayuki GOTO
4th Author's Affiliation Waseda University
5th Author's Name Toshiyasu MATSUSHIMA
5th Author's Affiliation Waseda University
6th Author's Name Shigeichi HIRASAWA
6th Author's Affiliation Waseda University
Date 2012-11-07
Paper # IBISML2012-49
Volume (vol) vol.112
Number (no) 279
Page pp.pp.-
#Pages 5
Date of Issue