Preserving data privacy in Machine Learning pipelines with Federated Learning

FAME's project blog
The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.

Smart ICT Framework for the intelligent management of different modern energy systems

Conference: 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), At Genoa, Italy 10.1109/EEEIC.2019.8783709, 2019/06/13

Cognitive hyperconnected digital transformation. Internet of things intelligence evolution

River Publishers ISBN 978-87-93609-10-5 Chapter 8: IoT European Large-Scale Pilots - Integration, Experimentation and Testing