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"Accountable Federated Machine Learning in Government: Engineering and ..."

Dian Balta et al. (2021)

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DOI: 10.1007/978-3-030-82824-0_10

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-26

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  - conf/epart/BaltaSKSBBALSPA21
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  - https://dblp.org/rec/conf/epart/BaltaSKSBBALSPA21
Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Mathieu Sinn, Mark Purcell, Bashar Altakrouri:
Accountable Federated Machine Learning in Government: Engineering and Management Insights. ePart 2021: 125-138

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