INCREMENTAL MACHINE LEARNING MODEL DEPLOYMENT

Organization Name

nokia technologies oy

Inventor(s)

Serhan Gul of Berlin DE

Homayun Afrabandpey of Espoo FI

Saba Ahsan of Espoo FI

Hamed Rezazadegan Tavakoli of Espoo FI

Igor Danilo Diego Curcio of Gravina di Catania IT

Gazi Karam Illahi of Helsinki FI

INCREMENTAL MACHINE LEARNING MODEL DEPLOYMENT

This abstract first appeared for US patent application 20250147753 titled 'INCREMENTAL MACHINE LEARNING MODEL DEPLOYMENT

Original Abstract Submitted

in accordance with example embodiments of the invention there is at least a method and apparatus to perform 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, performing a model update to update the currently deployed or stored at least one machine learning model. further, receiving, 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, determining information comprising the model update; based on the determining, sending 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.