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