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.
REAL-TIME DISTRIBUTED META LEARNING
VERTEILTES METALERNEN IN ECHTZEIT
MÉTA-APPRENTISSAGE DISTRIBUÉ EN TEMPS RÉEL
2025-08-13
Patent
Electronic Resource
English
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