203 citations · 296 across the 21 of their papers we have counts for
4 papers · 1 filter
Intelligent Client Selection for Federated Learning using Cellular Automata
Nikolaos Pavlidis, Vasileios Perifanis, Theodoros Panagiotis Chatzinikolaou +2
Federated Learning (FL) has emerged as a promising solution for privacy-enhancement and latency minimization in various real-world applications, such as transportation, communicati…
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…
Federated Learning for Early Dropout Prediction on Healthy Ageing Applications
Christos Chrysanthos Nikolaidis, Vasileios Perifanis, Nikolaos Pavlidis +1
The provision of social care applications is crucial for elderly people to improve their quality of life and enables operators to provide early interventions. Accurate predictions…
Predicting Early Dropouts of an Active and Healthy Ageing App
Vasileios Perifanis, Ioanna Michailidi, Giorgos Stamatelatos +2
In this work, we present a machine learning approach for predicting early dropouts of an active and healthy ageing app. The presented algorithms have been submitted to the IFMBE Sc…