Resilient Network Algorithms

Resilient Network Algorithms is a class of distributed algorithms designed to maintain correct and efficient operation of networked systems in the presence of failures, adversarial attacks, or dynamic topology changes, distinguished by their ability to preserve functionality, connectivity, and performance guarantees under such disruptions.

92

Publications

4.1K

Citations

259

Authors

139

Institutions

Publications per year

2017–2026

29

Authors

259

  1. SS
    Stefan Schmid

    Technische Universität Berlin, Germany

    4 publications · 53 citations

    4

    h-index

  2. QZ
    Quanyan Zhu

    New York University, United States

    3 publications · 95 citations

    3

    h-index

  3. AO
    Ariel Orda

    Technion – Israel Institute of Technology, Israel

    2 publications · 94 citations

    2

    h-index

  4. CN
    Cristina Nita-Rotaru

    Purdue University West Lafayette, United States

    2 publications · 31 citations

    2

    h-index

  5. MD
    Marc De Leenheer

    Ghent University, Belgium

    2 publications · 44 citations

    2

    h-index

1–5 of 259

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 52 citations

    3

    h-index

  2. 3

    h-index

  3. 3

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  4. arXiv (Cornell University)

    Repository · 2 publications · 26 citations

    2

    h-index

  5. Complexity

    2 publications · 46 citations

    2

    h-index

1–5