USPTO Patent Grant: Distributed Data Analytics Systems

ChangeBridge: Patent Grants - AI & Computing (G06N)

Published March 24th, 2026

Detected March 24th, 2026

Summary

The USPTO has granted a patent to Xailient for systems and methods related to distributed data analytics and device-specific artificial neural network (ANN) models. The patent covers the generation and distribution of ANN models across user devices, utilizing collected datasets for updates.

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What changed

The United States Patent and Trademark Office (USPTO) has issued patent US12585939B2 to Xailient, detailing "Systems and methods for distributed data analytics." This patent specifically covers the creation and deployment of device-specific artificial neural network (ANN) models. The invention involves collecting data from user devices, including predictions from existing ANN models, to generate updated ANN models based on this training data.

This patent grant is primarily informational and does not impose new regulatory obligations on businesses. However, it signifies a development in AI and distributed computing technologies that companies in the technology sector, particularly those involved in AI development, data analytics, and device management, may wish to be aware of for competitive intelligence and potential licensing considerations. No immediate compliance actions are required.

Source document (simplified)

← USPTO Patent Grants

Systems and methods for distributed data analytics

Grant US12585939B2 Kind: B2 Mar 24, 2026

Assignee

Xailient

Inventors

Lars Oleson, Shivanthan Yohanandan, Ryan Mccrea, Deepa Lakshmi Chandrasekharan, Sabina Pokhrel, Yousef Rabi, Zhenhua Zhang, Priyadharshini Devanand, Bernardo Rodeiro Croll, James J. Meyer

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.

CPC Classifications

G06N 3/08 G06N 3/045 G06N 3/0895 G06N 3/096 G06N 7/01 G06F 18/2148 G06F 18/217 G06F 18/28 G06F 18/40 G06F 18/214 G06V 10/774 G06V 10/82 G06V 10/945 G06V 40/16 G06V 10/462 G06V 40/161 G06T 2207/20084 G06T 2207/20081