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:
Nov. 19, 2024

Filed:

Feb. 19, 2021
Applicant:

Tripleblind, Inc., Kansas City, MO (US);

Inventors:

Greg Storm, Parkville, MO (US);

Gharib Gharibi, Lenexa, KS (US);

Riddhiman Das, Lenexa, KS (US);

Assignee:

TRIPLEBLIND HOLDINGS, INC., Kansas City, MO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 17/16 (2006.01); G06F 18/2113 (2023.01); G06F 18/24 (2023.01); G06N 3/04 (2023.01); G06N 3/082 (2023.01); G06Q 20/40 (2012.01); G06Q 30/0601 (2023.01); H04L 9/00 (2022.01); H04L 9/06 (2006.01);
U.S. Cl.
CPC ...
H04L 63/0428 (2013.01); G06F 17/16 (2013.01); G06F 18/2113 (2023.01); G06F 18/24 (2023.01); G06N 3/04 (2013.01); G06N 3/082 (2013.01); G06Q 20/401 (2013.01); G06Q 30/0623 (2013.01); H04L 9/008 (2013.01); H04L 9/0625 (2013.01); G06Q 2220/00 (2013.01); H04L 2209/46 (2013.01);
Abstract

A system and method are disclosed for providing a private multi-modal artificial intelligence platform. The method includes splitting a neural network into a first client-side network, a second client-side network and a server-side network and sending the first client-side network to a first client. The first client-side network processes first data from the first client, the first data having a first type. The method includes sending the second client-side network to a second client. The second client-side network processes second data from the second client, the second data having a second type. The first type and the second type have a common association. Forward and back propagation occurs between the client side networks and disparate data types on the different client side networks and the server-side network to train the neural network.


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