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.
Paper contribution: 'Atos Digital Vision: Digital Banking'
Nacho González, from the Energy, Climate & Decarbonization Unit, and our own blockchain gurú, has made a contribution to "Digital Vision: Digital Banking" publication.