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.
Towards Digital and Personalized Healthcare and Well-being Solutions for the Workplace
Intelligent Environments Vol. 23 - IOS Press
Application of Pocket mHealth as a tool for occupational health, presented in the Workshop on Personalized Health & Intelligent Workplaces Transforming Ergonomics ‘18 - Acknowledgement to EIT Health.