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:
Dec. 02, 2025

Filed:

Jun. 29, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Aaron Eakin, Seattle, WA (US);

Ariya Rastrow, Seattle, WA (US);

James Garnet Droppo, Carnation, WA (US);

Gurpreet Singh Chadha, Seattle, WA (US);

Pankaj Sitpure, San Jose, CA (US);

Buddha Puneeth Nandanoor, Milpitas, CA (US);

Santosh Kumar Patro, Lynnwood, WA (US);

Milind Mukesh Rao, Sunnyvale, CA (US);

Gopinath Chennupati, Santa Cara, CA (US);

Andrew Oberlin, Lynnwood, WA (US);

Prahalad Venkataramanan, Bellevue, WA (US);

Frederick Weber, Bangalore, IN (US);

Venkata Kishore Nandury, Hyderabad, IN (US);

Anand Mohan, Hyderabad, IN (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G06N 3/045 (2023.01); G06N 3/096 (2023.01); G10L 21/10 (2013.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G06N 3/045 (2023.01); G10L 21/10 (2013.01);
Abstract

A first neural network (NN) model may generate labels for training a second NN model. The second NN model may represent instances of a NN model operating on multiple different devices (e.g., decentralized user and/or edge devices). The system may include using a 'teacher' model to process data received by one or more of the devices to generate a labeled dataset. The system may use the labeled dataset and a “student” model to calculate gradient data for updating the student model. The student model may be the same or similar to NN model instances operating on the devices. The system may validate the updated student model to determine, for example, whether it exhibits improved performance when processing the newly received data and/or historical data. The system may distribute the validated update to the devices.


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