Invention Grant
- Patent Title: Training machine learning models with training data
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Application No.: US17006371Application Date: 2020-08-28
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Publication No.: US12079694B2Publication Date: 2024-09-03
- Inventor: Liang Kong , Oleg Tolstov
- Applicant: VOLKSWAGEN AKTIENGESELLSCHAFT , PORSCHE AG , AUDI AG
- Applicant Address: DE Wolfsburg
- Assignee: Volkswagen Aktiengesellschaft,Porsche AG,Audi AG
- Current Assignee: Volkswagen Aktiengesellschaft,Porsche AG,Audi AG
- Current Assignee Address: CH Wolfsburg; DE Stuttgart; DE Ingolstadt
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F18/214 ; G06N3/044 ; G06N3/045 ; G06N3/08 ; G06V10/774 ; G06V10/776 ; G06V10/82 ; G06V20/40 ; H04L9/00 ; H04L9/06 ; H04L9/08 ; H04L9/32

Abstract:
In one embodiment, a method is provided. The method includes storing a set of training data. One or more machine learning models are trained based on the set of training data. The method also includes receiving, from a computing device, a request to access the set of training data. The method further includes determining whether the computing device is allowed to access the set of training data. In response to determining that the computing device is allowed to access the set of training data, the method includes transmitting a training token to the computing device. The training token grants a training environment with access to the set of training data for a period of time.
Public/Granted literature
- US20220067570A1 TRAINING MACHINE LEARNING MODELS WITH TRAINING DATA Public/Granted day:2022-03-03
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