LDP-IDS: Local Differential Privacy for Infinite Data Streams
Summary: LDP-IDS: a w-event local differential privacy framework for infinite data streams. Online adaptive population division with recycling reduces noise and communication, enabling practical privacy across analytics with theoretical guarantees. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xuebin Ren
- 2. Liang Shi
- 3. Weiren Yu
- 4. Shusen Yang
- 5. Cong Zhao
- 6. Zongben Xu
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 83 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00053933811 |
| 453 | Towards Practical Differential Privacy for SQL Queries | 2018 | VLDB | 0.00022741848 |
| 1,930 | Marginal Release Under Local Differential Privacy | 2018 | SIGMOD | 0.00010040732 |
| 2,082 | Differentially Private Event Sequences over Infinite Streams | 2014 | VLDB | 9.5834599e-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 |
| 3,469 | CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy | 2021 | VLDB | 7.0674518e-05 |
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