How Much Does It Cost to Train a Machine Learning Model over Distributed Data Sources? - Elia Guerra; Francesc Wilhelmi; Marco Miozzo; Paolo Dini (CoRR, 2022)

Fully Decentralized Client Selection for Energy-Efficient Federated Learning. - Elia Guerra; Marco Miozzo; Paolo Dini (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Towards Energy-Aware Federated Traffic Prediction for Cellular Networks. - Vasileios Perifanis; Nikolaos Pavlidis; Selim F. Yilmaz; Francesc Wilhelmi; Elia Guerra; Marco Miozzo; Pavlos S. Efraimidis; Paolo Dini; Remous-Aris Koutsiamanis (FMEC, 2023)

On the Decentralization of Blockchain-enabled Asynchronous Federated Learning. - Francesc Wilhelmi; Elia Guerra; Paolo Dini (NetSoft, 2023)

The Cost of Training Machine Learning Models Over Distributed Data Sources. - Elia Guerra; Francesc Wilhelmi; Marco Miozzo; Paolo Dini (IEEE Open J. Commun. Soc., 2023)

Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory. - Alessandro Buratto; Elia Guerra; Marco Miozzo; Paolo Dini; Leonardo Badia (ICAIIC, 2024)

Energy-Aware Decentralized Learning with Intermittent Model Training. - Martijn de Vos; Akash Balasaheb Dhasade; Paolo Dini; Elia Guerra; Anne-Marie Kermarrec; Marco Miozzo; Rafael Pires 001; Rishi Sharma 001 (IPDPS (Workshops), 2024)

The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies. - Francesc Wilhelmi; Nima Afraz; Elia Guerra; Paolo Dini (Comput. Networks, 2024)