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. 28, 2026

Filed:

Sep. 08, 2022
Applicants:

Zirui Zhou, Surrey, CA;

Changxin Liu, Victoria, CA;

Yong Zhang, Richmond, CA;

Inventors:

Zirui Zhou, Surrey, CA;

Changxin Liu, Victoria, CA;

Yong Zhang, Richmond, CA;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/098 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 3/098 (2023.01); G06N 20/00 (2019.01);
Abstract

Servers, methods and systems are disclosed for fair and secure vertical federated learning. Fair and secure vertical federated learning (FSVFL) systems are disclosed that achieve one or more of the following properties: model fairness, high security, high accuracy, high efficiency, and/or high generality. Private data is retained on local computing systems, which share only their model outputs, and a server or a trusted computing system shares only model gradients and randomly partitioned sets of data sample identifiers with untrusted computing systems. A fairness constraint protects protected classes of data samples against model training resulting in bias on the basis of the protected classes.


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