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.
A multipurpose ICT platform for supporting energy transition: first results in flexibility profiling
Conference: 2019 1st International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED)
2019/05/28