Search Results for author: Paolo Dini

Found 11 papers, 3 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

To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing

no code implementations5 Sep 2022 Luca Ballotta, Giovanni Peserico, Francesco Zanini, Paolo Dini

We consider a network of smart sensors for an edge computing application that sample a time-varying signal and send updates to a base station for remote global monitoring.

Data Compression Edge-computing

On the Decentralization of Blockchain-enabled Asynchronous Federated Learning

no code implementations20 May 2022 Francesc Wilhelmi, Elia Guerra, Paolo Dini

Federated learning (FL), thanks in part to the emergence of the edge computing paradigm, is expected to enable true real-time applications in production environments.

Edge-computing Federated Learning

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs

no code implementations20 Mar 2022 Francesc Wilhelmi, Jernej Hribar, Selim F. Yilmaz, Emre Ozfatura, Kerem Ozfatura, Ozlem Yildiz, Deniz Gündüz, Hao Chen, Xiaoying Ye, Lizhao You, Yulin Shao, Paolo Dini, Boris Bellalta

As wireless standards evolve, more complex functionalities are introduced to address the increasing requirements in terms of throughput, latency, security, and efficiency.

Federated Learning

Analysis and Evaluation of Synchronous and Asynchronous FLchain

1 code implementation15 Dec 2021 Francesc Wilhelmi, Lorenza Giupponi, Paolo Dini

As our results show, the synchronous setting leads to higher prediction accuracy than the asynchronous case.

Federated Learning

Balancing the Payment System

no code implementations6 Nov 2020 Tomaž Fleischman, Paolo Dini

We also briefly introduce a generalization of a payment system and of the method to balance it in the form of a specific application (Tetris Core Technologies), whose wider adoption could contribute to the financial stability of and better management of liquidity and risk for the whole economy.


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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