The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 20, 2026

Filed:

Dec. 09, 2021
Applicant:

Red Hat, Inc., Raleigh, NC (US);

Inventors:

Huamin Chen, Westford, MA (US);

Ricardo Noriega De Soto, Gorgonzola, IT;

Assignee:

Red Hat, Inc., Raleigh, NC (US);

Attorney:
Primary Examiner:
Hassan Mrabi
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01);
Abstract

Training nodes can be selected for use in training a machine-learning model according to some aspects described herein. In one example, a system can receive performance-metric values generated by training nodes, where the training nodes are configured to generate the performance-metric values by implementing an evaluation phase in which the training nodes partially train models using first training data. The system can select a subset of the training nodes based on the performance-metric values. The system can then transmit commands to the subset of training nodes for causing the subset of training nodes to implement a training phase in which the subset of training nodes further train the models using second training data.


Find Patent Forward Citations

Chen, Huamin. (2026). Selecting training nodes for training machine-learning models in a distributed computing environment (U.S. Patent No. 12770053). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12770053

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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