The goal of this paper is to construct an efficient privacy-preserving ridge regression (PPRR) protocol over high-dimensional data. Each user u can submits its ...
Jul 18, 2017 · Abstract. Linear regression is an important statistical tool that models the relationship between some explanatory values and an outcome ...
Privacy-Preserving Ridge Regression on Distributed Data. Publication , Journal Article. Giacomelli, I; Jha, S; Page, CD; Yoon, K. Published in: IACR Cryptol ...
A new system that can train a linear regression model with 2-norm regularization (i.e. ridge regression) on a dataset obtained by merging a finite number of ...
... The ridge regression is a statistical method for modeling a linear relationship between a dependent variable and some explanatory values, which is a variant ...
Jul 1, 2018 · In this paper, we propose a protocol for conducting privacy-preserving ridge regression (PPRR) over high-dimensional data. In our protocol, each ...
Abstract—Ridge regression is an algorithm that takes as input a large number of data points and finds the best-fit linear curve through these points.
Ridge regression is an algorithm that takes as input a large number of data points and finds the best-fit linear curve through these points.
Jun 8, 2020 · In this paper, we propose a novel protocol for conducting privacy-preserving linear regression (PPLR) on horizontally partitioned data.
Missing: Ridge | Show results with:Ridge
This work designs a packed secure multiplication protocol by utilizing Paillier encryption that is applicable to real numbers, and transforms the ridge ...