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

Claim 0:
1. A federated machine learning system for training students, the federated machine learning system comprising:
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 and for developing a first learning model based on a first set of learning performance metrics for the first group of students;
a second adaptive training system at a second training center to provide individualized training to a second group of students, the second adaptive training system comprising a second computing device executing a data property extraction module for extracting statistical properties from a second set of learning performance metrics for the second group of students at the second training center;
a data simulator module in data communication with the data property extraction module for generating 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
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, wherein the federation computing device comprises a processor to generate or refine a federated model based on the first and second model weights and to communicate federated model weights to the first computing device and to the data simulator module.