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. 17, 2022

Filed:

Aug. 28, 2020
Applicant:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Inventors:

Andrew Feng, Cupertino, CA (US);

Erik Ordentlich, San Jose, CA (US);

Lee Yang, Campbell, CA (US);

Peter Cnudde, Los Altos, CA (US);

Assignee:

Verizon Patent and Licensing Inc., Basking Ridge, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/30 (2019.01); G06N 20/00 (2019.01); H04L 67/10 (2022.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); H04L 67/10 (2013.01);
Abstract

The present teaching relates to estimating one or more parameters on a system including a plurality of nodes. In one example, the system comprises: one or more learner nodes, each of which is configured for generating information related to a group of words for estimating the one or more parameters associated with a machine learning model; and a plurality of server nodes, each of which is configured for obtaining a plurality of sub-vectors each of which is a portion of a vector that represents a word in the group of words, updating the sub-vectors based at least partially on the information to generate a plurality of updated sub-vectors, and estimating at least one of the one or more parameters associated with the machine learning model based on the plurality of updated sub-vectors.


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