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Not All Noise is Accounted Equally: How Differentially Private Learning Benefits from Large Sampling Rates.

Friedrich DörmannOsvald FriskLars Nørvang AndersenChristian Fischer Pedersen
Published in: MLSP (2021)
Keyphrases
  • active learning
  • differentially private
  • databases
  • sampling rate
  • website
  • probability distribution
  • web documents
  • statistical learning