A workload-adaptive mechanism for linear queries under local differential privacy
Summary: Workload-adaptive mechanism for linear counting queries under LDP. Defines a parametric mechanism class yielding unbiased workload estimates and optimizes with projected gradient descent to minimize expected squared error. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ryan McKenna
- 2. Raj Kumar Maity
- 3. Arya Mazumdar
- 4. Gerome Miklau
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,368 | Answering Multi-Dimensional Range Queries under Local Differential Privacy | 2021 | VLDB | 7.1714763e-05 |
| 9,285 | PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy | 2024 | VLDB | 4.3623546e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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