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Efficient Secure Ridge Regression from Randomized Gaussian Elimination
multiparty computation privacy-preserving machine learning secure ridge regression
2019/7/8
In this paper we present a practical protocol for secure ridge regression. We develop the necessary secure linear algebra tools, using only basic arithmetic over prime fields. In particular, we will s...
Privacy-Preserving Ridge Regression over Distributed Data from LHE
LHE real-world datasets
2017/10/10
Linear regression with 2-norm regularization (i.e., ridge regression) is an important statistical technique that models the relationship between some explanatory values and an outcome value using a li...
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. It is a building block for many machine-learning operations...
Privacy-Preserving Ridge Regression on Distributed Data
linear regression distributed data privacy-preserving system
2017/7/26
Linear regression is an important statistical tool that models the relationship between some explanatory values and an outcome value using a linear function. In many current applications (e.g. predict...