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CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy

Summary: CGM exploits autocorrelation in streaming data to enforce (epsilon, delta)-LDP using temporally correlated Gaussian noise, reducing noise relative to per-update LDP. An optimization-based noise synthesis with formal correctness yields substantial utility gains over one-shot LDP, validated on real streaming datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12402
Venue
VLDB
Year
2021
Pagerank
7.0674518e-05
Overall Rank
3,469 | 75.87%
DOI
10.14778/3476249.3476277

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