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:
Mar. 25, 2025

Filed:

Feb. 05, 2021
Applicant:

Toyota Motor Engineering & Manufacturing North America, Inc., Plano, TX (US);

Inventors:

Seyhan Ucar, Mountain View, CA (US);

Takamasa Higuchi, Mountain View, CA (US);

Chang-Heng Wang, Mountain View, CA (US);

Enes Krijestorac, Los Angeles, CA (US);

Onur Altintas, Mountain View, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); G01C 21/34 (2006.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06V 20/56 (2022.01); H04W 4/46 (2018.01);
U.S. Cl.
CPC ...
B60W 60/00184 (2020.02); G01C 21/343 (2013.01); G06F 18/214 (2023.01); G06F 18/2148 (2023.01); G06N 20/00 (2019.01); G06V 20/56 (2022.01); H04W 4/46 (2018.02);
Abstract

Systems and methods for vehicular-network-assisted federated machine learning are disclosed herein. One embodiment transmits first metadata from a connected vehicle to at least one other connected vehicle; receives, at the connected vehicle, second metadata from the at least one other connected vehicle; receives, at the connected vehicle based on analysis of the first and second metadata, a notification that the connected vehicle has been elected to participate in the current training phase of a federated machine learning process; receives, at the connected vehicle, instructions to prepare the connected vehicle for the next training phase; trains a machine learning model to perform a task at the connected vehicle during the current training phase to produce a locally trained machine learning model; and submits the locally trained machine learning model for aggregation with at least one other locally trained machine learning model to produce an aggregated locally trained machine learning model.


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