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. 23, 2026

Filed:

Oct. 17, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Shiqiang Wang, White Plains, NY (US);

Supriyo Chakraborty, White Plains, NY (US);

Nirmit V. Desai, Yorktown Heights, NY (US);

Douglas M. Freimuth, New York, NY (US);

Wei-Han Lee, White Plains, NY (US);

Changchang Liu, White Plains, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G06N 5/04 (2023.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06N 5/04 (2013.01);
Abstract

A computer implemented method includes distributing a plurality of prediction models, where each of a plurality of clients initially includes at least one associated prediction model from the plurality of prediction models, among all of the plurality of clients to provide each of the plurality of clients with each of the plurality of prediction models. The plurality of prediction models is evaluated on at least a portion of a local dataset resident on each of the plurality of clients to output a quantification indicating how each of the prediction models fit at least the portion of the local dataset of each of the plurality of clients. An ensemble model is generated by applying weights to each of the plurality of prediction models based on a value, a gradient, and a Hessian matrix of a user-defined objective.


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