Elia Guerra

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Learning Models

Energy Minimization

Top Venues

IEEE Open J. Commun. Soc.

Publications

Martijn de Vos, Akash Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma
Energy-Aware Decentralized Learning with Intermittent Model Training. IPDPS (Workshops) (2024)
Francesc Wilhelmi, Nima Afraz, Elia Guerra, Paolo Dini
The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies. Comput. Networks 245 (2024)
Alessandro Buratto, Elia Guerra, Marco Miozzo, Paolo Dini, Leonardo Badia
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory. ICAIIC (2024)
Akash Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma, Martijn de Vos
Energy-Aware Decentralized Learning with Intermittent Model Training. CoRR (2024)
Elia Guerra, Francesc Wilhelmi, Marco Miozzo, Paolo Dini
The Cost of Training Machine Learning Models Over Distributed Data Sources. IEEE Open J. Commun. Soc. 4 (2023)
Francesc Wilhelmi, Elia Guerra, Paolo Dini
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning. NetSoft (2023)
Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks. CoRR (2023)
Elia Guerra, Marco Miozzo, Paolo Dini
Fully Decentralized Client Selection for Energy-Efficient Federated Learning. DASC/PiCom/CBDCom/CyberSciTech (2023)
Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks. FMEC (2023)
Francesc Wilhelmi, Nima Afraz, Elia Guerra, Paolo Dini
The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies. CoRR (2023)
Francesc Wilhelmi, Elia Guerra, Paolo Dini
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning. CoRR (2022)
Elia Guerra, Francesc Wilhelmi, Marco Miozzo, Paolo Dini
How Much Does It Cost to Train a Machine Learning Model over Distributed Data Sources? CoRR (2022)