Oct 7, 2012 · Abstract:We study statistical risk minimization problems under a privacy model in which the data is kept confidential even from the learner.

We study statistical risk minimization problems under a version of privacy in which the data is kept confidential even from the learner. In this local privacy ...

We study statistical risk minimization problems under a privacy model in which the data is kept confidential even from the learner. In this local privacy ...

We study statistical risk minimization problems under a version of privacy in which the data is kept confidential even from the learner.

We study statistical risk minimization problems under a version of privacy in which the data is kept confidential even from the learner.

Dec 17, 2014 · We study statistical risk minimization problems under a privacy model in which the data is kept confidential even from the learner.

Privacy Aware Learning. We study statistical risk minimization problems under a version of privacy in which the data is kept confidential even from the learner.

This work establishes sharp upper and lower bounds on the convergence rates of statistical estimation procedures in a local privacy framework and exhibits a ...

Mar 18, 2024 · Abstract:This paper introduces ZIP-DL, a novel privacy-aware decentralized learning (DL) algorithm that relies on adding correlated noise to ...

Duration: 33:09
Posted: Jan 18, 2023