International Business Machines Corporation
Continuously improve recognition or prediction accuracy using a machine learning model to train and manage an edge application

Abstract:

Distributing machine learning models to electronic devices is provided. A number of machine learning models are built and stored on a server, wherein each model is customized to different device and user requirements. A request for a machine learning model is received from an electronic device, wherein the request includes a device profile comprising device attributes and user characteristics. The server determines which machine learning model from among the number of models is best suited for the device profile according to a set of model policies. The machine learning model best suited for the device profile is selected and downloaded to the device.