18832054. CENTRALIZED MACHINE LEARNING MODEL CONFIGURATIONS (QUALCOMM Incorporated)
CENTRALIZED MACHINE LEARNING MODEL CONFIGURATIONS
Organization Name
Inventor(s)
Rajeev Kumar of San Diego CA US
Shankar Krishnan of Poway CA US
CENTRALIZED MACHINE LEARNING MODEL CONFIGURATIONS
This abstract first appeared for US patent application 18832054 titled 'CENTRALIZED MACHINE LEARNING MODEL CONFIGURATIONS
Original Abstract Submitted
Methods, systems, and devices for wireless communications are described. A UE may be configured with a machine learning model by a core network to perform analytics, training, or inferences. The UE may indicate capability information to a core network entity, including a list of machine learning models supported at the UE. A centralized core network entity may manage different machine learning models and may send information for a machine learning model to the UE, such as through another core network entity. The UE or the core network may initiate the configuration. For example, the UE may request to be configured with a machine learning model. The core network may send control signaling that indicates a configuration for the machine learning model to the UE. The UE may perform analytics based on the machine learning model.