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Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions
Zero-touch network is anticipated to inaugurate the generation of intelligent and highly flexible resource provisioning strategies where multiple service providers collaboratively offer computation and storage resources.
Learning-driven Zero Trust in Distributed Computing Continuum Systems
To overcome such challenges, we present a novel learning-driven ZT conceptual architecture designed for DCCS.
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis
The application of unsupervised learning approaches, and in particular of clustering techniques, represents a powerful exploration means for the analysis of network measurements.
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