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:
Feb. 17, 2026

Filed:

Apr. 04, 2022
Applicants:

Gursimran Singh, Delta, CA;

Ahnaf Tazwar Ayub, Vancouver, CA;

Chendi Wang, Vancouver, CA;

Lanjun Wang, Markham, CA;

Yong Zhang, Richmond, CA;

Inventors:

Gursimran Singh, Delta, CA;

Ahnaf Tazwar Ayub, Vancouver, CA;

Chendi Wang, Vancouver, CA;

Lanjun Wang, Markham, CA;

Yong Zhang, Richmond, CA;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01);
U.S. Cl.
CPC ...
G06F 21/6218 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01);
Abstract

Systems, methods and computer-readable media for generating, by a first entity, a set of synthetic data samples that represent a corresponding set of original data samples; sending, by the first entity, the set of synthetic data samples for use by a second entity to generate a set of second entity predictions for the set of synthetic data samples using a machine learning (ML) model that has been trained using a second entity dataset; sending, by the first entity, for a third entity, a set of trusted labels corresponding to the set of original data samples; and receiving, by the first entity, from the third entity, valuation information for the second entity dataset that is based on a comparison by the third entity of the set of trusted labels and the set of second entity predictions.


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