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Explainable Federated Learning: A Lifecycle Dashboard for Industrial Settings

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posted on 28.03.2022, 05:22 by Michael UngersböckMichael Ungersböck, Thomas HiesslThomas Hiessl, Daniel Schall, Florian Michahelles
As the adoption of Federated Learning (FL) in the manufacturing industry grows and systems get increasingly complex, a need to inspect their behavior arises. Stakeholders of the FL process want a more transparent system to understand the current state and analyze how its performance changed over time. However, current representation approaches are often not designed for industrial applications and do not cover the entire FL model lifecycle. We propose the Lifecycle Dashboard, which considers the different requirements and perspectives of industrial stakeholders by visualizing information from the FL server. In addition, our representation approach is generic enough to be applied to different use cases and industries. We evaluate the Lifecycle Dashboard in a semi-structured expert interview, show improvements in the understandability of FL systems, and discuss possible use cases in the industry.

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Email Address of Submitting Author

ungersboeck.michael@gmail.com

ORCID of Submitting Author

0000-0002-2644-0376

Submitting Author's Institution

Siemens Technology and TU Wien

Submitting Author's Country

Austria

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