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.
3D human big data exchange between the health and garment sectors. Lessons learned in the BodyPass project
BodyPass
3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.