Infinite Stream Estimation under Personalized w-Event Privacy
Summary: Introduces personalized w-event privacy for infinite streams via a Personalized Window Size Mechanism (PWSM) to achieve (w,ε)-Personalized Differential Privacy, enabling per-user time-window privacy heterogeneity. Proposes two estimators—Personalized Budget Distribution (PBD) and Personalized Budget Absorption (PBA)—that allocate/absorb privacy budgets across slots, with provable guarantees and substantial empirical gains over uniform BD/BA (e.g., up to 68% and 24.9% error reductions). (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Leilei Du
- 2. Peng Cheng
- 3. Lei Chen
- 4. Heng Tao Shen
- 5. Xuemin Lin
- 6. Wei Xi
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,184 | MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy | 2026 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,082 | Differentially Private Event Sequences over Infinite Streams | 2014 | VLDB | 9.5834599e-05 |
| 3,433 | LDP-IDS: Local Differential Privacy for Infinite Data Streams | 2022 | SIGMOD | 7.0998035e-05 |
| 3,469 | CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy | 2021 | VLDB | 7.0674518e-05 |
| 4,805 | Projected Federated Averaging with Heterogeneous Differential Privacy | 2022 | VLDB | 5.9102798e-05 |
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