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.
Network Resilience in Virtualized Architectures
Network Resilience in Virtualized Architectures. IMCL'17- International Conference on Interactive Mobile Communication Technologies and Learning, 30-11-2017, Greece.