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
inteGRIDy - Enabling platform for the transformation of Smart Grids
IV Smart Grids Congress, Noviembre 2017
Page 155