DP-ADMM: ADMM-based Distributed Learning with Differential Privacy

30 Aug 2018Zonghao HuangRui HuYuanxiong GuoEric Chan-TinYanmin Gong

Alternating Direction Method of Multipliers (ADMM) is a widely used tool for machine learning in distributed settings, where a machine learning model is trained over distributed data sources through an interactive process of local computation and message passing. Such an iterative process could cause privacy concerns of data owners... (read more)

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