71 citations · 73 across the 5 of their papers we have counts for
5 papers
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting
Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz +6
The increasing demand for efficient resource allocation in mobile networks has catalyzed the exploration of innovative solutions that could enhance the task of real-time cellular t…
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 5G Base Station Traffic Forecasting
Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis +1
Cellular traffic prediction is of great importance on the path of enabling 5G mobile networks to perform intelligent and efficient infrastructure planning and management. However,…
On Money as a Means of Coordination between Network Packets
Pavlos S. Efraimidis, Remous-Aris Koutsiamanis
In this work, we apply a common economic tool, namely money, to coordinate network packets. In particular, we present a network economy, called PacketEconomy, where each flow is mo…
An exact and O(1) time heaviest and lightest hitters algorithm for sliding-window data streams
Remous-Aris Koutsiamanis, Pavlos S. Efraimidis
In this work we focus on the problem of finding the heaviest-k and lightest-k hitters in a sliding window data stream. The most recent research endeavours have yielded an epsilon-a…