mlsanityData to 14 Oct 2026

Pure-DP Aggregation in the Shuffle Model: Error-Optimal and Communication-Efficient

arXiv 2305.17634 ↗First posted 28 May 2023cs.DS cs.CRcited by 1

Not on the map. Why?

Abstract (arXiv)

We obtain a new protocol for binary counting in the varepsilon-shuffle-DP model with error O(1/varepsilon) and expected communication tildeOleft(fraclog nvarepsilonright) messages per user. Previous protocols incur either an error of O(1/varepsilon1.5) with O_varepsilon(logn) messages per user (Ghazi et al., ITC 2020) or an error of O(1/varepsilon) with O_varepsilon(n2.5) messages per user (Cheu and Yan, TPDP 2022). Using the new protocol, we obtained improved varepsilon-shuffle-DP protocols for real summation and histograms.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 28 May 2023.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.