Patents by Inventor Sundeep Pothula

Sundeep Pothula has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Federated machine-learning platform leveraging engineered features based on statistical tests
    Patent number: 12242930
    Abstract: Provided is a process including: receiving a data token to be passed from a first node to a second node; retrieving machine learning model attributes from a collection of one or more of the sub-models of a federated machine-learning model; determining based on the machine learning model attributes, that the data token is learning relevant to members of the collection of one or more of the sub-models and, in response, adding the data toke to a training set to be used by at least some members of the collection of one or more of the sub-models; determining a collection of data tokens to transmit from the second node to a third node of the set of nodes participating in a federated machine-learning model; and transmitting the collection of data tokens.
    Type: Grant
    Filed: December 2, 2020
    Date of Patent: March 4, 2025
    Assignee: Cerebri AI Inc.
    Inventors: Sundeep Pothula, Max Changchun Huang, Thejas Narayana Prasad, Alain Charles Briancon, Jean Joseph Belanger
  • Federated machine-Learning platform leveraging engineered features based on statistical tests
    Publication number: 20210174257
    Abstract: Provided is a process including: receiving a data token to be passed from a first node to a second node; retrieving machine learning model attributes from a collection of one or more of the sub-models of a federated machine-learning model; determining based on the machine learning model attributes, that the data token is learning relevant to members of the collection of one or more of the sub-models and, in response, adding the data toke to a training set to be used by at least some members of the collection of one or more of the sub-models; determining a collection of data tokens to transmit from the second node to a third node of the set of nodes participating in a federated machine-learning model; and transmitting the collection of data tokens.
    Type: Application
    Filed: December 2, 2020
    Publication date: June 10, 2021
    Inventors: Sundeep Pothula, Max Changchun Huang, Thejas Narayana Prasad, Alain Charles Briancon, Jean Joseph Belanger