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. 11, 2023

Filed:

Sep. 14, 2018
Applicant:

Cisco Technology, Inc., San Jose, CA (US);

Inventors:

Xiaoqing Zhu, Austin, TX (US);

Yaqi Wang, Sunnyvale, CA (US);

Dan Tan, Sunnyvale, CA (US);

Rob Liston, Menlo Park, CA (US);

Mehdi Nikkhah, Belmont, CA (US);

Assignee:

Cisco Technology, Inc., San Jose, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 20/10 (2019.01); G06N 3/088 (2023.01); G06N 3/045 (2023.01); G06N 5/01 (2023.01); G06F 18/214 (2023.01); H04Q 9/00 (2006.01); G06F 9/48 (2006.01); G06F 18/25 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2155 (2023.01); G06F 9/48 (2013.01); G06F 18/253 (2023.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06N 5/01 (2023.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); H04Q 9/00 (2013.01);
Abstract

In one embodiment, a service receives machine learning-based generative models from a plurality of distributed sites. Each generative model is trained locally at a site using unlabeled data observed at that site to generate synthetic unlabeled data that mimics the unlabeled data used to train the generative model. The service receives, from each of the distributed sites, a subset of labeled data observed at that site. The service uses the generative models to generate synthetic unlabeled data. The service trains a global machine learning-based model using the received subsets of labeled data received from the distributed sites and the synthetic unlabeled data generated by the generative models.


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