DECICE Project’s potential for Federated Learning Use Cases
Federated Learning (FL) in the DECICE project involves a decentralized machine learning model shared across edge devices. In FL each device locally processes data for model training and sends updates to the central server, reducing bandwidth usage and preserving data privacy. FL offers privacy by avoiding raw data sharing and minimizes bandwidth use, though local…
