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:

Sep. 30, 2019
Applicant:

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

Inventors:

Joseph Kozhaya, Morrisville, NC (US);

Shikhar Kwatra, Durham, NC (US);

Sourav Mazumder, Contra Costa, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 3/0481 (2022.01); G06F 18/214 (2023.01); G06F 18/232 (2023.01); G06N 3/08 (2023.01); G06N 20/00 (2019.01); G06Q 20/40 (2012.01); G06T 9/00 (2006.01);
U.S. Cl.
CPC ...
H04L 63/104 (2013.01); G06F 3/0481 (2013.01); G06F 18/214 (2023.01); G06F 18/232 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 20/4014 (2013.01); G06T 9/002 (2013.01); H04L 63/1416 (2013.01);
Abstract

A computer-implemented method for adapting a deep learning model to a local environment includes collecting training data; training a common deep learning model using the collected training data; customizing the deep learning model based on characteristics specific to one of a plurality of local devices utilizing transfer learning; and deploying the customized deep learning model to the one of the plurality of local devices. The customized deep learning model may be trained across a hierarchy comprising: a central common model trained on data from all devices in the plurality of devices; a location based model trained on a first set of data from devices in the plurality of devices within a location proximity; and a device based model trained on a data from one device in the plurality of devices.


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