Federated Sensor Fusion

Federated Sensor Fusion is a distributed data integration framework that enables multiple sensor nodes to collaboratively aggregate and refine heterogeneous sensing data while preserving data locality and minimizing centralized coordination.

10

Publications

713

Citations

41

Authors

26

Institutions

Publications per year

2017–2026

7

Authors

41

  1. BX
    Boris X. Vintimilla

    Escuela Superior Politecnica del Litoral, Ecuador

    2 publications · 60 citations

    2

    h-index

  2. HG
    Hang Geng

    University of Electronic Science and Technology of China, China

    2 publications · 76 citations

    2

    h-index

  3. ZW
    Zidong Wang

    Brunel University of London, United Kingdom

    2 publications · 76 citations

    2

    h-index

  4. MR
    Miguel Realpe

    Escuela Superior Politecnica del Litoral, Ecuador

    2 publications · 60 citations

    2

    h-index

  5. LV
    Ljubo Vlacic

    Griffith University, Australia

    2 publications · 60 citations

    2

    h-index

1–5 of 41

Venues

  1. Information Fusion

    3 publications · 476 citations

    3

    h-index

  2. Peer-to-Peer Networking and Applications

    1 publications · 12 citations

    1

    h-index

  3. MATEC Web of Conferences

    1 publications · 33 citations

    1

    h-index

  4. IEEE/CAA Journal of Automatica Sinica

    1 publications · 40 citations

    1

    h-index

  5. 1

    h-index

1–5