A Dual Perturbation Approach for Differential Private ADMM-Based Distributed Empirical Risk Minimization

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Tao Zhang and Quanyan Zhu

In this paper, the authors develop a privacy-preserving method to a class of regularized empirical risk minimization (ERM) machine learning problems.