mlsanityData to 14 Oct 2026

Private Learning Implies Online Learning: An Efficient Reduction

arXiv 1905.11311 ↗First posted 27 May 2019cs.LG stat.MLcited by 10

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Abstract (arXiv)

We study the relationship between the notions of differentially private learning and online learning in games. Several recent works have shown that differentially private learning implies online learning, but an open problem of Neel, Roth, and Wu citeNeelAaronRoth2018 asks whether this implication is it efficient. Specifically, does an efficient differentially private learner imply an efficient online learner? In this paper we resolve this open question in the context of pure differential privacy. We derive an efficient black-box reduction from differentially private learning to online learning from expert advice.

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 May 2019.

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Citing papers per year: 2021: 3; 2022: 0; 2023: 1; 2024: 3; 2025: 2; 2026: 1.

10 papers.