Distributed Analytics

Distributed Analytics is a computational paradigm within edge analytics that performs data analysis across multiple decentralized nodes or devices, distinguished by its ability to process and derive insights locally at the network edge while coordinating results without centralized data aggregation.

60

Publications

3.4K

Citations

232

Authors

101

Institutions

Publications per year

2017–2026

37

Authors

232

  1. MS
    Marc Snir

    University of Illinois Urbana-Champaign, United States

    2 publications · 50 citations

    2

    h-index

  2. HD
    Hoang-Vu Dang

    University of Illinois Urbana-Champaign, United States

    2 publications · 50 citations

    2

    h-index

  3. LH
    Loc Hoang

    The University of Texas at Austin, United States

    2 publications · 50 citations

    2

    h-index

  4. MJ
    Martin Junghanns

    Center for Scalable Data Analytics and Artificial Intelligence, Germany

    2 publications · 60 citations

    2

    h-index

  5. ZB
    Zhifeng Bao

    RMIT University, Australia

    2 publications · 133 citations

    2

    h-index

1–5 of 232

Venues

  1. IEEE Access

    2 publications · 64 citations

    2

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 39 citations

    2

    h-index

  3. IEEE Internet of Things Journal

    2 publications · 769 citations

    2

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Cloud Computing

    1 publications · 25 citations

    1

    h-index

1–5