Secure Data Federation

Secure Data Federation is a data integration framework that enables controlled, privacy-preserving access to distributed datasets across organizational or jurisdictional boundaries without centralizing the data, thereby maintaining local autonomy and security policies.

12

Publications

948

Citations

77

Authors

41

Institutions

Publications per year

2017–2026

4

Authors

77

  1. YT
    Yongxin Tong

    Beihang University, China

    2 publications · 68 citations

    2

    h-index

  2. CX
    Chunbo Xue

    Singapore Management University, Singapore

    2 publications · 68 citations

    2

    h-index

  3. LC
    Lei Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 68 citations

    2

    h-index

  4. YZ
    Yuxiang Zeng

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 68 citations

    2

    h-index

  5. XP
    Xuchen Pan

    Beihang University, China

    2 publications · 68 citations

    2

    h-index

1–5 of 77

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 68 citations

    2

    h-index

  2. Journal of Systems and Software

    JSS · 1 publications · 19 citations

    1

    h-index

  3. IEEE Intelligent Systems

    1 publications · 612 citations

    1

    h-index

  4. International Journal of Epidemiology

    1 publications · 54 citations

    1

    h-index

  5. Information Systems

    1 publications · 63 citations

    1

    h-index

1–5