Machine Learning (ML) Model Management in 5G Core Network

Embodiments include methods for a first network node or function (NNF) configured for machine learning (ML) model management in a communication network. Such methods include receiving, from a second NNF of the communication network, a first message including: one or more ML model identifiers corresponding to one or more ML models maintained by the first node, or an identifier of an analytic based on the ML model(s). Such methods include sending, to the second NNF, a second message including one of the following: a plurality of tuples corresponding to a plurality of ML models on which the analytic is based, each tuple including a different ML model identifier and information element(s) associated with the corresponding ML model; or a single tuple including the analytic identifier and information element(s) associated with a single ML model on which the analytic is based. Other embodiments include complementary methods for the second NNF.