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:
Jul. 30, 2024

Filed:

Dec. 06, 2019
Applicant:

Telefonaktiebolaget Lm Ericsson (Publ), Stockholm, SE;

Inventors:

Konstantinos Vandikas, Solna, SE;

Selim Ickin, Stocksund, SE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/147 (2022.01); G06F 18/214 (2023.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
H04L 41/147 (2013.01); G06F 18/2148 (2023.01); G06N 3/04 (2013.01);
Abstract

Federated learning is used to predict network communication performance at an edge node (-). The edge node (-) trains a local model (-) of network communication performance over one or more rounds of training, based on a local training dataset (-) and based on multi-node training information (-) received in each round of training. This information (-) comprises information about local models (--N) at other respective edge nodes (--N) as trained based on local training datasets at the other edge nodes (--N). After or as part of each round of training, the edge node (-) transmits control signaling that indicates an accuracy of the local model (-) as trained through that round of training, that indicates whether another round of training is needed or desired, and/or that indicates whether any further information (-) is needed or desired. The edge node (-) predicts network communication performance at the edge node (-) based on the trained local model (-).


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