Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

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Herein, machine learning (ML) models using multiple linear regression (MLR), support vector regression (SVR), random forest (RF) and artificial neural network (ANN) are developed and compared to predict the output features viz. specific capacitance (Csp), ...

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The upcoming Square Kilometre Array Observatory will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as ...

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We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

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Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

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