Heterogeneous Edge Processing

Heterogeneous Edge Processing is a computational framework that orchestrates data processing tasks across diverse edge devices with varying hardware capabilities, software environments, and network conditions to enable efficient and adaptive decentralized computation.

8

Publications

266

Citations

46

Authors

23

Institutions

Publications per year

2017–2026

8

Authors

46

  1. XD
    Xin Du

    Fudan University, China

    1 publications · 29 citations

    1

    h-index

  2. SM
    Saikat Majumdar

    Indian Institute of Technology Dhanbad, India

    1 publications · 103 citations

    1

    h-index

  3. GZ
    Gan Zheng

    Loughborough University, United Kingdom

    1 publications · 16 citations

    1

    h-index

  4. LS
    Lei Shi

    Hefei University of Technology, China

    1 publications · 23 citations

    1

    h-index

  5. FZ
    Fuhui Zhou

    Nanjing University of Aeronautics and Astronautics, China

    1 publications · 18 citations

    1

    h-index

1–5 of 46

Venues

  1. Neural Computing and Applications

    1 publications · 16 citations

    1

    h-index

  2. Journal of Parallel and Distributed Computing

    1 publications · 29 citations

    1

    h-index

  3. IEEE Transactions on Mobile Computing

    TMCCI · 1 publications · 18 citations

    1

    h-index

  4. Peer-to-Peer Networking and Applications

    1 publications · 23 citations

    1

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 20 citations

    1

    h-index

1–5