According to an aspect, there is provided an apparatus for performing the following. The apparatus obtains alternative predicted values of a traffic metric of cooperative intelligent transport system from base learners and corresponding one or more realized values. The apparatus builds a weighted correlation graph describing correlations between the base learners based on the alternative predicted and realized values. Nodes of the weighted correlation graph correspond to the base learners and are associated with first weights defined based on values of a pre-defined error metric defined based on the alternative predicted and realized values. Edges in the weighted correlation graph are associated with second weights defined based on values of a correlation coefficient calculated for arrival times of the alternative predicted values. The apparatus calculates a maximum clique based on the weighted correlation graph and causes adaptation of amount of network resources available to the base learners based thereon.


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    Title :

    REAL-TIME DISTRIBUTED META LEARNING


    Additional title:

    VERTEILTES METALERNEN IN ECHTZEIT
    MÉTA-APPRENTISSAGE DISTRIBUÉ EN TEMPS RÉEL


    Contributors:

    Publication date :

    2025-08-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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