Necessity of Block Designs for Optimal Locally Private Distribution Estimation
Abigail Gentle

TL;DR
This paper proves that only protocols based on symmetrical balanced incomplete block designs can achieve optimal error and communication in locally private distribution estimation, fully characterizing the set of optimal solutions.
Contribution
It establishes that all optimal protocols for locally private distribution estimation must be derived from symmetrical balanced incomplete block designs.
Findings
Optimal error protocols correspond to balanced incomplete block designs.
Protocols with optimal communication are also based on these designs.
The set of all optimal protocols is fully characterized by this design framework.
Abstract
Local differential privacy represents the gold standard for preserving the privacy of data before it leaves the device, and distribution estimation under this model has been well studied. Recently, protocols built upon balanced incomplete block designs were shown to achieve optimal error for this problem. However, it remained unknown whether other constructions could also be optimal. We resolve this question by proving that any protocol achieving optimal error must correspond to some balanced incomplete block design. This result, combined with prior work, completely characterises the set of optimal protocols for this problem. As a consequence, the protocols that achieve optimal error and optimal communication are only those based on symmetrical balanced incomplete block designs.
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