research
∙
07/29/2023
The effect of network topologies on fully decentralized learning: a preliminary investigation
In a decentralized machine learning system, data is typically partitione...
share
research
∙
09/09/2022
Anomaly Detection through Unsupervised Federated Learning
Federated learning (FL) is proving to be one of the most promising parad...
research
∙
06/02/2022
Design and evaluation of a cognitive approach for disseminating semantic knowledge and content in opportunistic networks
In cyber-physical convergence scenarios information flows seamlessly bet...
research
∙
05/01/2022
Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks
Automatic traffic classification is increasingly becoming important in t...
research
∙
10/01/2021
Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning
The widespread diffusion of mobile phones is triggering an exponential g...
research
∙
09/27/2021
A communication efficient distributed learning framework for smart environments
Due to the pervasive diffusion of personal mobile and IoT devices, many ...
research
∙
09/23/2021
Energy efficient distributed analytics at the edge of the network for IoT environments
Due to the pervasive diffusion of personal mobile and IoT devices, many ...
research
∙
09/23/2021
Federated Feature Selection for Cyber-Physical Systems of Systems
Autonomous systems generate a huge amount of multimodal data that are co...
research
∙
12/09/2020
Optimising cost vs accuracy of decentralised analytics in fog computing environments
The exponential growth of devices and data at the edges of the Internet ...
research
∙
11/17/2020