Public-data Assisted Private Stochastic Optimization: Power and Limitations

Feb-9-2026, 13:37:09 GMT–Neural Information Processing Systems

We study the limits and capability of public-data assisted differentially private (P A-DP) algorithms. Specifically, we focus on the problem of stochastic convex optimization (SCO) with either labeled or unlabeled public data.

data mining, machine learning, natural language, (19 more...)

Neural Information Processing Systems

Feb-9-2026, 13:37:09 GMT

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