Invention Grant
- Patent Title: Fairness and output authenticity for secure distributed machine learning
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Application No.: US16701955Application Date: 2019-12-03
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Publication No.: US11507883B2Publication Date: 2022-11-22
- Inventor: Laurent Gomez
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F21/60
- IPC: G06F21/60 ; G06N20/00 ; G06N3/02
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.
Public/Granted literature
- US20210166152A1 Fairness and Output Authenticity for Secure Distributed Machine Learning Public/Granted day:2021-06-03
Information query
