Search Results for author: Joel Daniel Andersson

Found 1 papers, 1 papers with code

A Smooth Binary Mechanism for Efficient Private Continual Observation

1 code implementation NeurIPS 2023 Joel Daniel Andersson, Rasmus Pagh

We address the efficiency problem by presenting a simple alternative to the binary mechanism in which 1) generating the noise takes constant average time per value, 2) the variance is reduced by a factor about 4 compared to the binary mechanism, and 3) the noise distribution at each step is identical.

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