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

Summary: CGM adapts Gaussian LDP to streaming data by injecting temporally correlated noise optimized for public autocorrelation, value ranges, and utility. It preserves (ε,δ)-LDP while substantially improving trend fidelity over repeated one-shot perturbation. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12590
Venue
VLDB
Year
2021
Pagerank
7.7415187e-05
Overall Rank
3,113 | 78.65%
DOI
10.14778/3476249.3476277

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BibTeX Citation

@article{bao_vldb21,
        title = {{CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy}},
        author = {Bao, Ergute and Yang, Yin and Xiao, Xiaokui and Ding, Bolin},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {11},
        pages = {2258--2270},
        doi = {10.14778/3476249.3476277},
        url = {https://doi.org/10.14778/3476249.3476277},
        year = {2021}
}

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