The envisioned smart industrial systems rely on networked machines with increasing level of intelligence and autonomy, moving far beyond traditional low-cost, low-power sensors. Networked and cooperative intelligent machines have recently opened new research opportunities that target the integration of distributed learning tools with sensing, communication and decision operations. Cross-fertilization of these components is crucial to … Continue reading Distributed and Federated Learning for wireless communication systems