Patents by Inventor Philippe LACAILLE

Philippe LACAILLE 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).

  • METHOD OF AND SYSTEM FOR PROVIDING AN AGGREGATED MACHINE LEARNING MODEL IN A FEDERATED LEARNING ENVIRONMENT AND DETERMINING RELATIVE CONTRIBUTION OF LOCAL DATASETS THERETO
    Publication number: 20240127114
    Abstract: A method and system are disclosed for providing an aggregated trained machine learning model for performing a prediction task. A main processing device obtains from a first processing device at least a portion of a first trained model having been generated by training an initial model on a first training dataset, and a first training parameter indicative of a level of predictive uncertainty thereof. The main processing device obtains from a second processing device at least a portion of a second trained model having been generated by training the initial model on a second training dataset, and a second training parameter indicative of a level of predictive uncertainty thereof. The main processing device combines, using the first and second training parameters, at least the portion of the first and second trained models to thereby obtain the aggregated trained model. The main processing device provides the aggregated trained model.
    Type: Application
    Filed: January 19, 2022
    Publication date: April 18, 2024
    Applicants: IMAGIA CYBERNETICS INC., CONCORDIA UNIVERSITY INC.
    Inventors: Jonatan REYES, Marta KERSTEN-OERTEL, Cecile LOW-KAM, Lisa DI JORIO, Philippe LACAILLE, Florent CHANDELIER