Systems and methods for distributed data analytics

US11275970B2 · kind B2 · utility

Assignee

• Xailient · AU

Inventors

• Lars Oleson · Sydney, AU
• Shivanthan Yohanandan · Nar Nar Goon, AU
• Ryan Mccrea · Mississauga, CA
• Deepa Lakshmi Chandrasekharan
• Sabina Pokhrel · Kathmandu, NP
• Yousef Rabi · Parramatta, AU
• Zhenhua Zhang · Chicago, US
• Priyadharshini Devanand
• Bernardo Rodeiro Croll · Sydney, AU
• James J. Meyer · Chanhassen, US

Key dates

• Filing date: May 7, 2021
• Grant date: Mar 15, 2022
• Expiry date: May 7, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V40/161
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.