MACHINE LEARNING (ML) MODEL RETRAINING IN 5G CORE NETWORK

Embodiments include methods for a drift detection logical function (DDLF) of a network data analytics function (NWDAF) of a communication network. Such methods include receiving, from a model training logical function (MTLF) of the NWDAF, a subscription request for drift monitoring notifications associated with a machine learning (ML) model used by an analytics logical function, AnLF, of the NWDAF. Such methods include monitoring for drift associated with the ML model, based on metadata associated with the ML model. Such methods include, based on the monitoring meeting one or more criteria included in the metadata, sending one or more drift monitoring notifications to the MTLF in accordance with the subscription. Other embodiments include complementary methods for MTLF and AnLF, as well as network nodes or functions configured to perform such methods.