Privacy-preserving Edge Computing

Privacy-Preserving Edge Computing is a distributed computing paradigm that integrates privacy-enhancing technologies into edge computing architectures to ensure sensitive data is processed locally with minimized exposure, leakage, or unauthorized access while maintaining system functionality and performance.

158

Publications

8.2K

Citations

619

Authors

288

Institutions

Publications per year

2017–2026

158

Authors

619

  1. JM
    Jianfeng Ma

    Xidian University, China

    5 publications · 242 citations

    5

    h-index

  2. YC
    Yu Chen

    Binghamton University, United States

    5 publications · 161 citations

    5

    h-index

  3. AF
    Alem Fitwi

    Binghamton University, United States

    5 publications · 161 citations

    5

    h-index

  4. LQ
    Lianyong Qi

    Qufu Normal University, China

    5 publications · 528 citations

    5

    h-index

  5. SZ
    Sencun Zhu

    Pennsylvania State University, United States

    4 publications · 141 citations

    4

    h-index

1–5 of 619

Venues

  1. IEEE Internet of Things Journal

    18 publications · 1.1K citations

    18

    h-index

  2. Future Generation Computer Systems

    FGCS · 9 publications · 706 citations

    9

    h-index

  3. IEEE Access

    8 publications · 737 citations

    8

    h-index

  4. Computer Communications

    5 publications · 191 citations

    5

    h-index

  5. Journal of Systems Architecture

    JSA · 5 publications · 150 citations

    5

    h-index

1–5