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 City IoT Services Creation through Large Scale Collaboration
IEEE Internet of Things Journal
Syncronicity project
IEEE Internet of Things Journal
A Semantic-Enabled Platform for Realizing an Interoperable Web of Things
MDPI Sensors
Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available.
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
Atomic Services: sustainable ecosystem of smart city services through pan-European collaboration
Conference Paper for the Global IoT Summit 2019 (GIoTS) in Aarhus, Denmark.
End-to-end security assessment framework for connected vehicles
Conference Paper for the International Symposium on Wireless Personal Multimedia Communications at Lisboa
Artificial Intelligence as the second phase for IoT
ATOS Blog:
https://atos.net/en/blog/artificial-intelligence-second-phase-iot-part-1