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.

LEPS – Leveraging eID in the Private Sector

Chapter in book “Challenges in Cybersecurity and Privacy - the European Research Landscape” by River Publishers. ISBN: 9788770220880 doi: https://doi.org/10.13052/rp-9788770220873 https://www.riverpublishers.com/research_details.php?book_id=711