Security for AI/ML Model Storage and Sharing

Abstract

Embodiments include methods for a consumer network function (NFc) of a communication network. Such methods include sending, to a first NF of the communication network, a first request for a first access token associated with a machine learning (ML) model. The first request includes at least one of the following associated with the ML model: an analytics identifier (ID), and an interoperability ID. Such methods include receiving from the first NF a first response that includes the first access token and sending, to a producer NF (NFp) of the communication network, a second request for the ML model. The second request includes the first access token and at least one of the analytics ID and the interoperability ID. Such methods include receiving from the NFp a second response that includes one or more of the following: the ML model; an identifier of the ML model; and an address of a storage resource associated with a second NF of the communication network, from which the ML model can be obtained.

CPC Classifications