A Computational Separation between Private Learning and Online Learning

11 Jul 2020Mark Bun

A recent line of work has shown a qualitative equivalence between differentially private PAC learning and online learning: A concept class is privately learnable if and only if it is online learnable with a finite mistake bound. However, both directions of this equivalence incur significant losses in both sample and computational efficiency... (read more)

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