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2020 – today
- 2024
[j2]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: 110361 (2024)- [c5]Alessandro Buratto, Elia Guerra, Marco Miozzo, Paolo Dini, Leonardo Badia:
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory. ICAIIC 2024: 249-254 - [c4]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: 1172-1174 - [i5]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 abs/2407.01283 (2024) - 2023
- [j1]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: 1111-1126 (2023) - [c3]Elia Guerra, Marco Miozzo, Paolo Dini:
Fully Decentralized Client Selection for Energy-Efficient Federated Learning. DASC/PiCom/CBDCom/CyberSciTech 2023: 595-601 - [c2]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: 93-100 - [c1]Francesc Wilhelmi, Elia Guerra, Paolo Dini:
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning. NetSoft 2023: 408-413 - [i4]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 abs/2309.10645 (2023) - [i3]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 abs/2310.07471 (2023) - 2022
- [i2]Francesc Wilhelmi, Elia Guerra, Paolo Dini:
On the Decentralization of Blockchain-enabled Asynchronous Federated Learning. CoRR abs/2205.10201 (2022) - [i1]Elia Guerra, Francesc Wilhelmi, Marco Miozzo, Paolo Dini:
How Much Does It Cost to Train a Machine Learning Model over Distributed Data Sources? CoRR abs/2209.07124 (2022)
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