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Continuous Publication of Weighted Graphs with Local Differential Privacy

Summary: WGT-LDP enables continuous publication of weighted graph snapshots under w-event edge-weight LDP, addressing privacy for both topology and weights. Population-based sampling, range estimation, aggregation, and reconstruction yield strong utility and outperform baselines. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14227
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,970 | 24.74%
DOI
10.14778/3749646.3749688

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BibTeX Citation

@article{xu_vldb25,
        title = {{Continuous Publication of Weighted Graphs with Local Differential Privacy}},
        author = {Xu, Wen and Qiao, Pengpeng and Liu, Shang and Zheng, Zhirun and Cao, Yang and Li, Zhetao},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {11},
        pages = {4214--4226},
        doi = {10.14778/3749646.3749688},
        url = {https://doi.org/10.14778/3749646.3749688},
        year = {2025}
}

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