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:
Sep. 24, 2024

Filed:

Oct. 27, 2020
Applicant:

Emc Ip Holding Company Llc, Hopkinton, MA (US);

Inventors:

Pablo Nascimento da Silva, Niterói, BR;

Paulo Abelha Ferreira, Rio de Janeiro, BR;

Tiago Salviano Calmon, Rio de Janeiro, BR;

Roberto Nery Stelling Neto, Rio de Janeiro, BR;

Vinicius Michel Gottin, Rio de Janeiro, BR;

Assignee:

EMC IP HOLDING COMPANY LLC, Hopkinton, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/098 (2023.01); G06N 3/08 (2023.01); G06N 3/082 (2023.01); G06N 3/0985 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06N 3/098 (2023.01); G06N 3/082 (2013.01); G06N 3/0985 (2023.01); G06N 20/00 (2019.01); G06N 3/08 (2013.01); G06N 20/20 (2019.01);
Abstract

A framework for rapidly prototyping federated learning algorithms. Specifically, the disclosed framework proposes a method and system for evaluating different hypotheses for configuring learning model, which may be optimized through federated learning. Through the disclosed framework, these hypotheses may be tested for scalability, hardware and network resource performance, as well as for new learning state compression and/or aggregation technique effectiveness. Further, these hypotheses may be tested through federated learning simulations, which avoid costs associated with deploying these hypotheses to be tested across production systems.


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