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 proceeding › Conference contribution › Academic › peer-review

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Original language	English
Title of host publication	Proceedings of the 39th International Conference on Distributed Computing Systems
Publisher	IEEE Computer Society
Publication status	Accepted/In press - 2019
Event	39th IEEE International Conference on Distributed Computing Systems 2019 - University of Texas, Dallas, United States Duration: 7 Jul 2019 → 9 Jul 2019 Conference number: 39 https://theory.utdallas.edu/ICDCS2019/

Conference	39th IEEE International Conference on Distributed Computing Systems 2019
Abbreviated title	ISDCS 2019
Country/Territory	United States
City	Dallas
Period	7/07/19 → 9/07/19
Internet address	https://theory.utdallas.edu/ICDCS2019/

Access to Document

@inproceedings{78b2e2634fe3496b82f8d6f6554366f2,

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",

language = "English",

booktitle = "Proceedings of the 39th International Conference on Distributed Computing Systems",

publisher = "IEEE Computer Society",

address = "United States",

note = "39th IEEE International Conference on Distributed Computing Systems 2019, ISDCS 2019 ; Conference date: 07-07-2019 Through 09-07-2019",

url = "https://theory.utdallas.edu/ICDCS2019/",

}

Scherzinger, S, Seifert, C & Wiese, L 2019, 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, 39th IEEE International Conference on Distributed Computing Systems 2019, Dallas, Texas, United States, 7/07/19.

Proceedings of the 39th International Conference on Distributed Computing Systems. IEEE Computer Society, 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - The Best of both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning

AU - Scherzinger, Stefanie

AU - Seifert, Christin

AU - Wiese, Lena

N1 - Conference code: 39

PY - 2019

Y1 - 2019

M3 - Conference contribution

BT - Proceedings of the 39th International Conference on Distributed Computing Systems

PB - IEEE Computer Society

T2 - 39th IEEE International Conference on Distributed Computing Systems 2019

Y2 - 7 July 2019 through 9 July 2019

ER -