Patent ID: 11915111
Assignee: CAE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A computer-implemented method of implementing a federated machine learning system for training students, method comprising:
providing a first adaptive training system at a first training center to provide individualized training to a first group of students, the first adaptive training system comprising a first computing device executing a first artificial intelligence module for adapting the individualized training to each of the first group of students at the first training center;
developing, using the first artificial intelligence module, a first learning model based on a first set of learning performance metrics for the first group of students;
providing a second adaptive training system at a second training center to provide individualized training to a second group of students;
extracting statistical properties from a second set of learning performance metrics for the second group of students using a data property extraction module;
generating, using a data simulator module, simulated performance metrics using extracted statistical properties from the second set of learning performance metrics for the second group of students to thereby generate a second learning model; and
providing a federation computing device in data communication with both the first computing device and the data simulator module to receive first model weights for the first learning model from the first computing device and to receive second model weights from the data simulator module;
generating or refining, using the federation computing device, a federated model based on the first and second model weights;
communicating the federated model weights to the first computing device and to the data simulator module.