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:
May. 31, 2022

Filed:

Apr. 30, 2018
Applicant:

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

Inventors:

Andreea Anghel, Adliswil, CH;

Georgios Kathareios, Zurich, CH;

Mitch Gusat, Langnau a.A., CH;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); H04L 41/14 (2022.01); H04L 43/0876 (2022.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06K 9/6257 (2013.01); G06N 20/00 (2019.01); H04L 41/14 (2013.01); H04L 43/0876 (2013.01);
Abstract

Optimizing a network comprising a core computing system (CCS) and a set of edge computing devices (ECDs), wherein each of the ECDs locally performs computations based on a trained machine learning (ML) model. A plurality of ML models are continually trained at the CCS, concurrently, based on data collected from the ECDs. One or more states of the network and/or components thereof are monitored. The monitored states are relied upon to decide (when) to change a trained ML model as currently used by any of the ECDs to perform said computations. It may be decided to change the model used by a given one of the ECDs to perform ML-based computations. One of the models as trained at the CCS is selected (based on the monitored states) and corresponding parameters are sent to this ECD. The latter can resume computations according to a trained model.


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