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:
Dec. 05, 2023

Filed:

Apr. 13, 2018
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Shiqiang Wang, White Plains, NY (US);

Tiffany Tuor, London, GB;

Theodoros Salonidis, Boston, MA (US);

Christian Makaya, Summit, NJ (US);

Bong Jun Ko, Harrington Park, NJ (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06N 20/00 (2019.01); H04L 67/10 (2022.01); H04L 67/12 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); H04L 67/10 (2013.01); H04L 67/12 (2013.01);
Abstract

A training process of a machine learning model is executed at the edge node for a number of iterations to generate a model parameter based at least in part on a local dataset and a global model parameter. A resource parameter set indicative of resources available at the edge node is estimated. The model parameter and the resource parameter set are sent to a synchronization node. Updates to the global model parameter and the number of iterations are received from the synchronization node based at least in part on the model parameter and the resource parameter set of edge nodes. The training process of the machine learning model is repeated at the edge node to determine an update to the model parameter based at least in part on the local dataset and updates to the global model parameter and the number of iterations from the synchronization node.


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