May 26, 2023, 1:19 a.m. | Yangsibo Huang, Haotian Jiang, Daogao Liu, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni

cs.CR updates on

In this paper, we study the setting in which data owners train machine
learning models collaboratively under a privacy notion called joint
differential privacy [Kearns et al., 2018]. In this setting, the model trained
for each data owner $j$ uses $j$'s data without privacy consideration and other
owners' data with differential privacy guarantees. This setting was initiated
in [Jain et al., 2021] with a focus on linear regressions. In this paper, we
study this setting for stochastic convex optimization (SCO). …

called data data owner differential privacy machine machine learning machine learning models privacy study train under

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