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:
Aug. 30, 2022

Filed:

Oct. 12, 2021
Applicant:

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

Inventors:

Gharib Gharibi, Lenexa, KS (US);

Ravi Patel, Kansas City, MO (US);

Babak Poorebrahim Gilkalaye, Kansas City, CA;

Praneeth Vepakomma, Weymouth, MA (US);

Greg Storm, Parkville, MO (US);

Riddhiman Das, Parkville, MO (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06F 17/16 (2006.01); H04L 9/00 (2022.01); H04L 9/06 (2006.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06Q 20/40 (2012.01); G06Q 30/06 (2012.01);
U.S. Cl.
CPC ...
H04L 63/0428 (2013.01); G06F 17/16 (2013.01); G06K 9/623 (2013.01); G06K 9/6267 (2013.01); 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

Disclosed is a method that includes training, at a client, a part of a deep learning network up to a split layer of the client. Based on an output of the split layer, the method includes completing, at a server, training of the deep learning network by forward propagating the output received at a split layer of the server to a last layer of the server. The server calculates a weighted loss function for the client at the last layer and stores the calculated loss function. After each respective client of a plurality of clients has a respective loss function stored, the server averages the plurality of respective weighted client loss functions and back propagates gradients based on the average loss value from the last layer of the server to the split layer of the server and transmits just the server split layer gradients to the respective clients.


Find Patent Forward Citations

Loading…