Privacy-aware Data Aggregation

Privacy-Aware Data Aggregation is a data aggregation method that, as a genus, belongs to techniques for summarizing or combining data, and, as a differentia, specifically incorporates privacy-preserving mechanisms to limit data exposure while maintaining utility, in accordance with the principle of data minimization.

126

Publications

7.8K

Citations

346

Authors

147

Institutions

Publications per year

2017–2026

68

Authors

346

  1. LS
    Lü Su

    University at Buffalo, State University of New York, United States

    7 publications · 658 citations

    7

    h-index

  2. RL
    Rongxing Lu

    University of New Brunswick, Canada

    6 publications · 961 citations

    6

    h-index

  3. HX
    Houping Xiao

    University at Buffalo, State University of New York, United States

    6 publications · 601 citations

    6

    h-index

  4. CM
    Chenglin Miao

    University at Buffalo, State University of New York, United States

    5 publications · 346 citations

    5

    h-index

  5. ZQ
    Zhan Qin

    Zhejiang University, China

    5 publications · 346 citations

    5

    h-index

1–5 of 346

Venues

  1. 6

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 889 citations

    4

    h-index

  3. Digital Communications and Networks

    DCN · 4 publications · 147 citations

    4

    h-index

  4. IEEE Transactions on Dependable and Secure Computing

    TDSC · 4 publications · 299 citations

    4

    h-index

  5. arXiv (Cornell University)

    Repository · 3 publications · 63 citations

    3

    h-index

1–5