Invention Grant
- Patent Title: Systems and methods for distributed data analytics
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Application No.: US17473564Application Date: 2021-09-13
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Publication No.: US12045720B2Publication Date: 2024-07-23
- Inventor: Lars Oleson , Shivanthan Yohanandan , Ryan Mccrea , Deepa Lakshmi Chandrasekharan , Sabina Pokhrel , Yousef Rabi , Zhenhua Zhang , Priyadharshini Devanand , Bernardo Rodeiro Croll , James J. Meyer
- Applicant: Xailient
- Applicant Address: AU Sydney
- Assignee: XAILIENT
- Current Assignee: XAILIENT
- Current Assignee Address: AU Sydney
- Agency: Goodwin Procter LLP
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06F18/21 ; G06F18/214 ; G06F18/28 ; G06F18/40 ; G06V10/46 ; G06V10/774 ; G06V10/82 ; G06V10/94 ; G06V40/16

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.
Public/Granted literature
- US20210406606A1 SYSTEMS AND METHODS FOR DISTRIBUTED DATA ANALYTICS Public/Granted day:2021-12-30
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