Patent ID: 11871244
Assignee: CACI, INC.—FEDERAL
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 15:
16. A method comprising:
determining that a first user equipment (UE) device moved to a first predefined area from a second predefined area;
sending, by a controller and to the first UE device, one or more machine learning parameters of a first machine learning model configured to detect an anomaly in an RF environment associated with the first predefined area;
causing the first UE device to update a second machine learning model with the one or more machine learning parameters of the first machine learning model, wherein the second machine learning model was previously determined by the first UE device and configured to detect an anomaly in an RF environment associated with the second predefined area; and
receiving, by the controller and from the first UE device, anomaly data indicative of an anomaly detected by the first UE device via the second machine learning model configured, at least in part, with the one or more machine learning parameters of the first machine learning model.