9 citations · 13 across the 3 of their papers we have counts for
3 papers
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…
In-Network Computing With Function as a Service at the Edge
Claudio Cicconetti, Marco Conti, Andrea Passarella
Offloading computation from user devices to nodes with processing capabilities at the edge of the network is a major trend in today's network/service architectures. At the same tim…
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
Mirco Nanni, Gennady Andrienko, Albert-László Barabási +36
The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when…