Toward an Intelligent Energy Efficient and Trustworthy 6G M&O Architecture
IEEE Communications Magazine
6G networks aim to further improve QoS while optimizing environmental sustainability metrics, and integrate increased levels of intelligence for automated control and performance optimization.
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.