Randomized Consensus

Randomized Consensus is a distributed consensus algorithm that uses randomization as a core mechanism to achieve agreement among asynchronous processes in the presence of failures, thereby distinguishing it from deterministic consensus protocols.

35

Publications

2.3K

Citations

57

Authors

38

Institutions

Publications per year

2017–2026

5

Authors

57

  1. JA
    James Aspnes

    Yale University, United States

    8 publications · 217 citations

    8

    h-index

  2. HA
    Hagit Attiya

    Technion – Israel Institute of Technology, Israel

    6 publications · 213 citations

    6

    h-index

  3. KC
    Keren Censor

    Technion – Israel Institute of Technology, Israel

    4 publications · 137 citations

    4

    h-index

  4. DR
    Dariusz R. Kowalski

    University of Liverpool, United Kingdom

    3 publications · 46 citations

    3

    h-index

  5. AM
    Achour Mostéfaoui

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    3 publications · 98 citations

    3

    h-index

1–5 of 57

Venues

  1. SIAM Journal on Computing

    3 publications · 103 citations

    3

    h-index

  2. Journal of the ACM

    JACM · 3 publications · 159 citations

    3

    h-index

  3. Distributed Computing

    3 publications · 100 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 29 citations

    2

    h-index

  5. Automatica

    2 publications · 839 citations

    2

    h-index

1–5