78 citations · 205 across the 34 of their papers we have counts for
4 papers · 1 filter
Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning
Alfredo Petrella, Marco Miozzo, Paolo Dini
Traffic prediction represents one of the crucial tasks for smartly optimizing the mobile network. Recently, Artificial Intelligence (AI) has attracted attention to solve this probl…
The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies
Francesc Wilhelmi, Nima Afraz, Elia Guerra +1
Blockchain promises to enhance distributed machine learning (ML) approaches such as federated learning (FL) by providing further decentralization, security, immutability, and trust…
Towards Energy-Aware Federated Traffic Prediction for Cellular Networks
Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz +6
Cellular traffic prediction is a crucial activity for optimizing networks in fifth-generation (5G) networks and beyond, as accurate forecasting is essential for intelligent network…
Tutorial on the Executable ASM Specification of the AB Protocol and Comparison with TLA
Paolo Dini, Manuel Bravo, Philipp Paulweber +2
The main aim of this report is to provide an introductory tutorial on the Abstract State Machines (ASM) specification method for software engineering to an audience already familia…