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:
Sep. 15, 2026

Filed:

Jan. 20, 2023
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Kaushik Amar Das, Guwahati, IN;

Kuntal Dey, Birbhum, IN;

Kapil Singi, Bangalore, IN;

Vikrant Kaulgud, Pune, IN;

Sanjay Podder, Thane, IN;

Gopal Sarma Pingali, Bangalore, IN;

Teresa Sheausan Tung, Los Angeles, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/098 (2023.01); G06F 9/50 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 9/5055 (2013.01); G06N 3/098 (2023.01); G06F 2209/501 (2013.01); G06F 2209/5011 (2013.01); G06F 2209/503 (2013.01); G06F 2209/509 (2013.01);
Abstract

A method and system for training a federated learning model are disclosed. The method may include receiving the global federated learning model from the server via the client. The client may control remote computing resources. The method may further include identifying a spare computing instance from the remote computing resources and determine a threshold training load for training the global federated learning model based on a training load assigned to the client. The method may further include, in response to a processing capacity of the spare computing instance being sufficient to process the threshold training load, offloading the threshold training load to the spare computing instance and training the global federated learning model on the spare computing instance with the training dataset stored in a data source maintained by the client.


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