"Not All Noise is Accounted Equally: How Differentially Private Learning ..."

Friedrich Dörmann et al. (2021)

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DOI: 10.1109/MLSP52302.2021.9596307

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type: Conference or Workshop Paper

metadata version: 2022-04-09

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Friedrich Dörmann, Osvald Frisk, Lars Nørvang Andersen, Christian Fischer Pedersen:
Not All Noise is Accounted Equally: How Differentially Private Learning Benefits from Large Sampling Rates. MLSP 2021: 1-6

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