Incremental machine learning model deployment

A method, comprising:

• executing a machine learning inference loop of a currently deployed or stored at least one machine learning model,
• wherein the currently deployed or stored at least one machine learning model is identified based on a manifest file received from a communication network;
• based on determined factors, requesting from the communication network a model update to trigger the model update for use with the currently deployed or stored at least one machine learning model;
• based on the request, receiving information from the communication network comprising the model update;
• and
• based on the information, communicate a trigger for a model update to update the currently deployed or stored at least one machine learning model.

An apparatus, comprising:

• at least one processor;
• and
• at least one memory storing instructions, that when executed by the at least one processor, cause the apparatus at least to:
• receive, based on determined factors, from a user equipment a communication to trigger a machine learning model update for use with a currently deployed or stored at least one machine learning model at the user equipment;
• based on the communication, determine information comprising the model update;
• based on the determining, send towards the client the information comprising the model update for a model update to update the currently deployed or stored at least one machine learning model.