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:
Jun. 22, 2021

Filed:

May. 19, 2020
Applicant:

Factom, Inc., Austin, TX (US);

Inventors:

Paul Snow, Austin, TX (US);

Brian Deery, Austin, TX (US);

Mahesh Paolini-Subramanya, Austin, TX (US);

Jason Nadeau, Missouri City, TX (US);

Assignee:

Factom, Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 12/06 (2021.01); H04L 29/06 (2006.01); H04L 9/32 (2006.01); G06N 20/00 (2019.01); H04L 9/08 (2006.01); H04L 9/06 (2006.01);
U.S. Cl.
CPC ...
H04L 9/3236 (2013.01); G06N 20/00 (2019.01); H04L 9/0637 (2013.01); H04L 9/0643 (2013.01); H04L 9/085 (2013.01); H04L 9/0891 (2013.01); H04L 9/3247 (2013.01); H04L 2209/38 (2013.01);
Abstract

Data verification in federate learning is faster and simpler. As artificial intelligence grows in usage, data verification is needed to prove custody and/or control. Electronic data representing an original version of training data may be hashed to generate one or more digital signatures. The digital signatures may then be incorporated into one or more blockchains for historical documentation. Any auditor may then quickly verify and/or reproduce the training data using the digital signatures. For example, a current version of the training data may be hashed and compared to the digital signatures generated from the current version of the training data. If the digital signatures match, then the training data has not changed since its creation. However, if the digital signatures do not match, then the training data has changed since its creation. The auditor may thus flag the training data for additional investigation and scrutiny.


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