SAP SE
Fairness and Output Authenticity for Secure Distributed Machine Learning
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Abstract:
Fairness and output authenticity for secure distributed machine learning is provided by way of an encrypted output of a garbled circuit which is simultaneously provided to a garbler and an evaluator by an output discloser. Related systems, methods and articles of manufacture are also disclosed.
Status:
Application
Type:
Utility
Filling date:
3 Dec 2019
Issue date:
3 Jun 2021