most citedDifferentially Private ADMM for Convex Distributed Learning: Improved Accuracy via Multi-Step Approximation

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cs.LG2020★ 7 cited

Differentially Private ADMM for Convex Distributed Learning: Improved Accuracy via Multi-Step Approximation

Zonghao Huang, Yanmin Gong

Alternating Direction Method of Multipliers (ADMM) is a popular algorithm for distributed learning, where a network of nodes collaboratively solve a regularized empirical risk mini…