Concepedia

Fault-tolerant Machine Learning

Fault-Tolerant Machine Learning is a machine learning framework that ensures uninterrupted model training and inference in the presence of hardware failures, software errors, or data inconsistencies within distributed and scalable computing environments.

210

Publications

11.1K

Citations

623

Authors

249

Institutions

Publications per year

2017–2026

139

Parents

Publications

210

Scaling distributed machine learning with the parameter server

Mu Li, David G. Andersen, Jun Woo Park et al. · Operating Systems Design and Implementation · 2014 · 1.1K citations

, , +16

Scaling Distributed Machine Learning with the Parameter Server

Mu Li · 2014 · 990 citations · Full text

, , +16

Machine learning with adversaries: byzantine tolerant gradient descent

Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui et al. · Neural Information Processing Systems · 2017 · 987 citations

, , +13

Distributed Statistical Machine Learning in Adversarial Settings

Yudong Chen, Lili Su, Jiaming Xu · Proceedings of the ACM on Measurement and Analysis of Computing Systems · 2017 · 365 citations

, , +14

Failure Prediction in IBM BlueGene/L Event Logs

Yinglung Liang, Yanyong Zhang, Hui Xiong et al. · 2007 · 276 citations

, , +10

1–5 of 210

Authors

623

  1. CL
    Chi-Sing Leung

    City University of Hong Kong, Hong Kong SAR China

    8 publications · 281 citations

    8

    h-index

  2. RG
    Rachid Guerraoui

    École Polytechnique Fédérale de Lausanne, Switzerland

    8 publications · 1.2K citations

    8

    h-index

  3. KP
    Karthik Pattabiraman

    University of British Columbia, Canada

    6 publications · 291 citations

    6

    h-index

  4. EM
    El Mahdi El Mhamdi

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 1.1K citations

    6

    h-index

  5. GL
    Guanpeng Li

    University of British Columbia, Canada

    5 publications · 276 citations

    5

    h-index

1–5 of 623

Institutions

249

  1. City University of Hong Kong

    Hong Kong, Hong Kong

    8 h-index

    20 publications

    703 citations

  2. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    7 h-index

    25 publications

    4.4K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    6 h-index

    15 publications

    4.7K citations

  4. Politecnico di Torino

    Turin, Italy

    6 h-index

    17 publications

    744 citations

  5. Tsinghua University

    Beijing, China

    6 h-index

    26 publications

    905 citations

  6. Centre National de la Recherche Scientifique

    Paris, France

    5 h-index

    20 publications

    447 citations

  7. University of Wisconsin–Madison

    Madison, United States

    5 h-index

    11 publications

    256 citations

  8. University of British Columbia

    Vancouver, Canada

    5 h-index

    16 publications

    866 citations

1–8 of 249

Venues

  1. arXiv (Cornell University)

    Repository · 21 publications · 669 citations

    15

    h-index

  2. IEEE Transactions on Neural Networks

    6 publications · 296 citations

    6

    h-index

  3. 5

    h-index

  4. Neurocomputing

    3 publications · 51 citations

    3

    h-index

  5. IEEE Transactions on Nuclear Science

    3 publications · 54 citations

    3

    h-index

1–5