A binary-tree noise mechanism releases differentially private empirical CDFs with logarithmic error, plus monotone smoothing and federated implementations.
Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth
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Differentially Private Empirical Cumulative Distribution Functions
A binary-tree noise mechanism releases differentially private empirical CDFs with logarithmic error, plus monotone smoothing and federated implementations.