Collaborative Edge Analytics

Collaborative Edge Analytics is a distributed data processing framework that enables multiple edge devices and edge servers to jointly execute analytical computations by sharing models, insights, or raw data in a coordinated manner, thereby enhancing inference accuracy, system efficiency, and real-time responsiveness while preserving localized decision-making and minimizing reliance on centralized cloud infrastructure.

7

Publications

191

Citations

25

Authors

13

Institutions

Publications per year

2017–2026

6

Authors

25

  1. YZ
    Yuejiu Zheng

    University of Shanghai for Science and Technology, China

    1 publications · 47 citations

    1

    h-index

  2. BX
    Bowen Xu

    East China University of Science and Technology, China

    1 publications · 47 citations

    1

    h-index

  3. SW
    Shaoqing Wang

    China University of Mining and Technology, China

    1 publications · 47 citations

    1

    h-index

  4. SI
    Stepan Ivanov

    Waterford Institute of Technology, Ireland

    1 publications · 10 citations

    1

    h-index

  5. LW
    Lina Wang

    Ocean University of China, China

    1 publications · 61 citations

    1

    h-index

1–5 of 25

Venues

  1. World Wide Web

    1 publications · 61 citations

    1

    h-index

  2. IEEE Internet of Things Journal

    1 publications · 34 citations

    1

    h-index

  3. Energy

    1 publications · 47 citations

    1

    h-index

  4. China Communications

    1 publications · 16 citations

    1

    h-index

1–4