33 citations · 118 across the 17 of their papers we have counts for
3 papers · 1 filter
Anomaly Detection through Unsupervised Federated Learning
Mirko Nardi, Lorenzo Valerio, Andrea Passarella
Federated learning (FL) is proving to be one of the most promising paradigms for leveraging distributed resources, enabling a set of clients to collaboratively train a machine lear…
Design and evaluation of a cognitive approach for disseminating semantic knowledge and content in opportunistic networks
Matteo Mordacchini, Lorenzo Valerio, Marco Conti +1
In cyber-physical convergence scenarios information flows seamlessly between the physical and the cyber worlds. Here, users' mobile devices represent a natural bridge through which…
Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks
Saira Bano, Achilles Machumilane, Lorenzo Valerio +2
Automatic traffic classification is increasingly becoming important in traffic engineering, as the current trend of encrypting transport information (e.g., behind HTTP-encrypted tu…