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

Stefanie Scherzinger, Christin Seifert, Lena Wiese. The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning. In 39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019, Dallas, TX, USA, July 7-10, 2019. pages 1620-1629, IEEE, 2019. [doi]

@inproceedings{ScherzingerSW19,
  title = {The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning},
  author = {Stefanie Scherzinger and Christin Seifert and Lena Wiese},
  year = {2019},
  doi = {10.1109/ICDCS.2019.00161},
  url = {https://doi.org/10.1109/ICDCS.2019.00161},
  researchr = {https://researchr.org/publication/ScherzingerSW19},
  cites = {0},
  citedby = {0},
  pages = {1620-1629},
  booktitle = {39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019, Dallas, TX, USA, July 7-10, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-2519-0},
}