Abstract: A method and an apparatus for identifying transmitting radio devices from a plurality of radio deviceswithin a video feed is described. At least one radio signal identifying a transmitting radio device is received, from the plurality of radio devices. A video feed identifying radio deviceswithin a field of view of the computer vision (CV)system is received, from the CV system. A first set of features is extracted from the received at least one radio signal and a second set of features is extracted from the received video feed. The first set of features and the second set of features are provided as an input to a machine learning (ML) algorithm to obtain a relationship between the transmitting radio device and the radio devicesidentified in the video feed.

Abstract: According to an aspect, there is disclosed a method comprising receiving, from a producer node, producer node capabilities comprising a machine learning based assistance capability, the machine learning based assistance capability comprising machine learning based functionalities, each machine learning based functionality comprising a machine learning entity and at least one machine learning mode associated with the machine learning entity. According to another aspect, there is disclosed a method comprising identifying producer node capabilities comprising a machine learning based assistance capability, the machine learning based assistance capability comprising machine learning based functionalities, each machine learning based functionality comprising a machine learning entity and at least one machine learning mode associated with the machine learning entity; and causing transmission of the producer node capabilities to a consumer node.