The Best of both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning

Stefanie Scherzinger, Christin Seifert, Lena Wiese

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    Original languageEnglish
    Title of host publicationProceedings of the 39th International Conference on Distributed Computing Systems
    PublisherIEEE Computer Society
    Publication statusAccepted/In press - 2019
    Event39th IEEE International Conference on Distributed Computing Systems 2019 - University of Texas, Dallas, United States
    Duration: 7 Jul 20199 Jul 2019
    Conference number: 39
    https://theory.utdallas.edu/ICDCS2019/

    Conference

    Conference39th IEEE International Conference on Distributed Computing Systems 2019
    Abbreviated titleISDCS 2019
    CountryUnited States
    CityDallas
    Period7/07/199/07/19
    Internet address

    Cite this

    Scherzinger, S., Seifert, C., & Wiese, L. (Accepted/In press). The Best of both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning. In Proceedings of the 39th International Conference on Distributed Computing Systems IEEE Computer Society.