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What is Data Confidentiality in ML: Encrypted Regression about?

This research explores the application of multivariate regression using gradient descent on encrypted medical data, focusing on maintaining data confidentiality. The authors modified an integer homomorphic encryption scheme to enable efficient and secure data operations while ensuring that sensitive information remains protected during machine learning tasks. The study demonstrates the effectiveness of their approach through simulations and its applicability to breast cancer datasets for predicting potentia

Author

iamkontrol29

Language

EN