Methods and apparatus to improve data training of a machine learning model using a field programmable gate array

US11710029B2 · kind B2 · utility

Assignee

• Intel Corporation · US

Inventors

• Kooi Chi Ooi · Air Itam, MY
• Min Suet Lim · Kampung Bukit Kechil, MY
• Denica N. Larsen · Portland, US
• Lady Nataly Pinilla Pico · Park Village, US
• Divya Vijayaraghavan · Mountain View, US

Key dates

• Filing date: Sep 28, 2018
• Grant date: Jul 25, 2023
• Expiry date: Apr 1, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V10/955
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Methods, apparatus, systems, and articles of manufacture are disclosed to improve data training of a machine learning model using a field-programmable gate array (FPGA). An example system includes one or more computation modules, each of the one or more computation modules associated with a corresponding user, the one or more computation modules training first neural networks using data associated with the corresponding users, and FPGA to obtain a first set of parameters from each of the one or more computation modules, the first set of parameters associated with the first neural networks, configure a second neural network based on the first set of parameters, execute the second neural network to generate a second set of parameters, and transmit the second set of parameters to the first neural networks to update the first neural networks.