AAA: an Adaptive Mechanism for Locally Differentially Private Mean Estimation
Summary: Introduces AAA: a two-step, distribution-aware LDP mean estimator that uses a subset to get a noisy quantized descriptor, then solves an optimization to design perturbation for remaining users. Optimizes average-case utility with proofs and empirical SOTA gains. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Fei Wei
- 2. Ergute Bao
- 3. Xiaokui Xiao
- 4. Yin Yang
- 5. Bolin Ding
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,930 | Marginal Release Under Local Differential Privacy | 2018 | SIGMOD | 0.00010040732 |
| 2,408 | Estimating Numerical Distributions under Local Differential Privacy | 2020 | SIGMOD | 8.8780076e-05 |
| 2,540 | Frequency Estimation under Local Differential Privacy | 2021 | VLDB | 8.5797299e-05 |
| 2,555 | Answering Multi-Dimensional Analytical Queries under Local Differential Privacy | 2019 | SIGMOD | 8.5477878e-05 |
| 3,399 | Answering Range Queries Under Local Differential Privacy | 2019 | VLDB | 7.1408089e-05 |
| 9,195 | DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy | 2019 | VLDB | 4.3756951e-05 |
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