Frequency Estimation under Local Differential Privacy
Summary: Unifies local differential privacy approaches for frequency estimation and heavy hitter discovery into a single framework, clarifying design tradeoffs. Extensive experiments on millions of users demonstrate that careful algorithm selection yields accurate, scalable frequency estimates for core data-management tasks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Graham Cormode
- 2. Samuel Maddock
- 3. Carsten Maple
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,438 | LDP-IDS: Local Differential Privacy for Infinite Data Streams | 2022 | SIGMOD | 7.0929695e-05 |
| 4,116 | Federated Heavy Hitter Analytics with Local Differential Privacy | 2025 | SIGMOD | 6.4319226e-05 |
| 5,403 | LDPTrace: Locally Differentially Private Trajectory Synthesis | 2023 | VLDB | 5.5248422e-05 |
| 6,600 | Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory | 2024 | SIGMOD | 4.9925547e-05 |
| 9,041 | TreeSensing: Linearly Compressing Sketches with Flexibility | 2023 | SIGMOD | 4.3997447e-05 |
| 10,620 | Federated Data Distribution Shift Estimation | 2025 | VLDB | 4.1905499e-05 |
| 11,022 | AAA: an Adaptive Mechanism for Locally Differentially Private Mean Estimation | 2024 | VLDB | 4.1905499e-05 |
| 11,229 | On the Risks of Collecting Multidimensional Data Under Local Differential Privacy | 2023 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,898 | Privacy at Scale: Local Differential Privacy in Practice | 2018 | SIGMOD | 7.9497751e-05 |
| 3,401 | Answering Range Queries Under Local Differential Privacy | 2019 | VLDB | 7.1343786e-05 |
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