Close the efficiency–utility gap for the explicit mechanism

Close the \(O(\log d)\) multiplicative gap between the error of the computationally efficient \(\ell_\infty\)-mechanism, which is \(O(d\log d/\varepsilon)\), and the optimal error bound \(O(d/\varepsilon)\) achieved by the non-efficient mechanism.

Background

The paper gives an information-theoretic mechanism based on a probabilistically constructed multi-scale secluded partition that achieves O(d/ε)O(d/\varepsilon) error using O(logd)O(\log d) random bits. For the \ell_\infty-norm, it also constructs an explicit multi-scale secluded partition whose rounding function is efficiently computable. The explicit construction has weaker parameters, causing the resulting efficient mechanism to incur an additional O(logd)O(\log d) factor in its error. The authors explicitly leave removal of this factor as an open problem.

References

The parameters we obtain for this MSSP essentially match those of (\Cref{thm:wdprv-secluded-partition}), which are worse than the probabilistic construction. This results in the $O(\log d)$ factor increase in the error. Closing this gap is an interesting open problem.

Overcoming the Randomness-Utility Trade-off in Answering Differentially Private Linear Queries  (2609.02880 - Ghentiyala et al., 2 Sep 2026) in Section 1, subsection “Technical Overview,” paragraph “Computationally Efficient Mechanism”