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Efficient and Accurate Differentially Private Cardinality Continual Releases

Summary: Introduces FC, a differentially private continual-cardinality framework combining an efficient estimator with privacy mechanisms for real-time continual releases under low memory. Empirical results show up to 504× memory reduction with comparable accuracy, and order-of-magnitude accuracy gains under the same budget. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7219
Venue
SIGMOD
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,480 | 27.10%
DOI
10.1145/3725288

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Rank Citing Paper Year Venue Pagerank
10,041 A General Framework for Per-record Differential Privacy 2026 SIGMOD 4.1945683e-05
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