Privacy-Preserving Distributed Linear Regression on High-Dimensional Data
نویسندگان
چکیده
منابع مشابه
Privacy-Preserving Distributed Linear Regression on High-Dimensional Data
We propose privacy-preserving protocols for computing linear regression models, in the setting where the training dataset is vertically distributed among several parties. Our main contribution is a hybrid multi-party computation protocol that combines Yao’s garbled circuits with tailored protocols for computing inner products. Like many machine learning tasks, building a linear regression model...
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ژورنال
عنوان ژورنال: Proceedings on Privacy Enhancing Technologies
سال: 2017
ISSN: 2299-0984
DOI: 10.1515/popets-2017-0053