Resource Orchestration and Optimization in 6G Extreme-edge Scenario

2025 IEEE Conference on Standards for Communications and Networking (CSCN)
6G networks envision a pervasive service infrastructure spanning from centralized cloud to distributed edge and highly dynamic extreme-edge domains.

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.