Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming
Summary: Studies frequency estimation across k parties under multiparty differential privacy (MDP), covering both one-shot aggregation and continual streaming. Achieves near-optimal privacy–communication tradeoffs, including an LDP error of √k/(e^ε−1) with near-linear communication. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ziyue Huang (Hong Kong University of Science and Technology)
- 2. Yuan Qiu (Hong Kong University of Science and Technology)
- 3. Ke Yi (Hong Kong University of Science and Technology)
- 4. Graham Cormode (University of Warwick)
BibTeX Citation
@article{huang_vldb22,
title = {{Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming}},
author = {Huang, Ziyue and Qiu, Yuan and Yi, Ke and Cormode, Graham},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {10},
pages = {2058--2070},
doi = {10.14778/3547305.3547312},
url = {https://doi.org/10.14778/3547305.3547312},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,232 | The Fast and the Private: Task-based Dataset Search | 2024 | CIDR | 5.8417106e-05 |
| 6,556 | Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System | 2023 | VLDB | 5.7472399e-05 |
| 10,512 | Sketch-based Secure Query Processing for Streaming Data | 2026 | SIGMOD | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 133 | Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release | 2007 | PODS | 0.00030046147 |
| 520 | Practical Privacy: The SuLQ Framework | 2005 | PODS | 0.00016931295 |
| 2,586 | Privacy at Scale: Local Differential Privacy in Practice | 2018 | SIGMOD | 8.2533446e-05 |
| 3,177 | Answering Range Queries Under Local Differential Privacy | 2019 | VLDB | 7.5637918e-05 |
| 3,681 | Quantiles over Data Streams: An Experimental Study | 2013 | SIGMOD | 7.1012729e-05 |
| 4,414 | ϵktelo: A Framework for Defining Differentially-Private Computations | 2018 | SIGMOD | 6.6080858e-05 |
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