Invention Grant
- Patent Title: Neural-network training using secure data processing
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Application No.: US16361982Application Date: 2019-03-22
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Publication No.: US11308222B2Publication Date: 2022-04-19
- Inventor: Jeremy Taylor , Jesús Alejandro Cárdenes Cabré , Kai Chung Cheung , John Christopher Muddle , Colin Gounden
- Applicant: Via Science, Inc.
- Applicant Address: US MA Somerville
- Assignee: Via Science, Inc.
- Current Assignee: Via Science, Inc.
- Current Assignee Address: US MA Somerville
- Agency: Pierce Atwood LLP
- Main IPC: G06F21/60
- IPC: G06F21/60 ; G06F11/34 ; G06N3/10 ; G06F7/58 ; G06N3/04 ; H04L9/00 ; H04L9/30 ; G06N20/10 ; G06Q20/38 ; G06F21/62 ; G06N3/08

Abstract:
Computer instructions corresponding to a neural-network model are received and encrypted using an encryption technique. Training data encrypted using the encryption technique is received from a data source. The model is trained using the training data using, for example, a gradient descent technique. If the model performs in accordance with a quality metric, it is sent to a device of a model user.
Public/Granted literature
- US20190294805A1 NEURAL-NETWORK TRAINING USING SECURE DATA PROCESSING Public/Granted day:2019-09-26
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