Federated Genomic Analysis

Federated Genomic Analysis is a computational framework that enables collaborative genomic data analysis across distributed institutions without centralizing raw genetic data, preserving privacy by sharing only aggregated model parameters or intermediate results.

12

Publications

565

Citations

85

Authors

51

Institutions

Publications per year

2017–2026

5

Authors

85

  1. XJ
    Xiaoqian Jiang

    University of California San Diego, United States

    2 publications · 113 citations

    2

    h-index

  2. SW
    Shuang Wang

    University of California San Diego, United States

    2 publications · 113 citations

    2

    h-index

  3. JB
    Jeffrey Braithwaite

    Macquarie University, Australia

    1 publications · 130 citations

    1

    h-index

  4. SD
    Scott D Constable

    University of California San Diego, United States

    1 publications · 62 citations

    1

    h-index

  5. SH
    Sevan Hakgor

    Princess Margaret Cancer Centre, Canada

    1 publications · 27 citations

    1

    h-index

1–5 of 85

Venues

  1. The American Journal of Human Genetics

    AJHG · 1 publications · 130 citations

    1

    h-index

  2. Cell Genomics

    1 publications · 27 citations

    1

    h-index

  3. Genome Medicine

    1 publications · 23 citations

    1

    h-index

  4. Human Mutation

    1 publications · 25 citations

    1

    h-index

  5. 1

    h-index

1–5