Search Results for author: Marco Miozzo

Found 6 papers, 2 papers with code

Towards Energy-Aware Federated Traffic Prediction for Cellular Networks

1 code implementation19 Sep 2023 Vasileios Perifanis, Nikolaos Pavlidis, Selim F. Yilmaz, Francesc Wilhelmi, Elia Guerra, Marco Miozzo, Pavlos S. Efraimidis, Paolo Dini, Remous-Aris Koutsiamanis

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 design, resource allocation and anomaly mitigation.

Federated Learning Traffic Prediction

The Cost of Training Machine Learning Models over Distributed Data Sources

1 code implementation15 Sep 2022 Elia Guerra, Francesc Wilhelmi, Marco Miozzo, Paolo Dini

Federated learning is one of the most appealing alternatives to the standard centralized learning paradigm, allowing a heterogeneous set of devices to train a machine learning model without sharing their raw data.

Federated Learning

Dynamic Control of Functional Splits for Energy Harvesting Virtual Small Cells: a Distributed Reinforcement Learning Approach

no code implementations13 Jun 2019 Dagnachew Azene T., Marco Miozzo, Paolo Dini

In this paper, we propose a network scenario where the baseband processes of the virtual small cells powered solely by energy harvesters and batteries can be opportunistically executed in a grid-connected edge computing server, co-located at the macro base station site.

Systems and Control Systems and Control

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