Danilo Menegatti

According to our database, Danilo Menegatti authored at least 28 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Enhancing Federated Reinforcement Learning: A Consensus-based Approach for Both Homogeneous and Heterogeneous Agents.

Alessandro Giuseppi, Danilo Menegatti, Antonio Pietrabissa

Mach. Intell. Res., October, 2025

Tractable Data-Driven Model Predictive Control Using One-Step Neural Networks Predictors.

Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa

IEEE Trans Autom. Sci. Eng., 2025

Data-Driven Image Resolution and Uplink Power Control for Mobile Augmented Reality Applications.

Andrea Wrona, Danilo Menegatti, Emanuele De Santis, Andrea Tortorelli

Proceedings of the 11th International Conference on Control, 2025

Control of Steering and Brake Actuator Dynamics in Driverless Vehicles: A Real-World Formula SAE Skid-Test Scenario.

Danilo Menegatti, Francesco Pappalardo, Francesco Luzi, Alessandro Giuseppi

Proceedings of the 11th International Conference on Control, 2025

Reinforcement Learning for Enhanced Path Tracking in Autonomous Vehicles: A Formula SAE Skid-Test Validation.

Danilo Menegatti, Francesco Luzi, Francesco Pappalardo, Antonio Pietrabissa, Alessandro Giuseppi

Proceedings of the 11th International Conference on Control, 2025

Dynamic Mode Decomposition (DMD) for Enhanced Epileptic Seizure Prediction from EEG Signals.

Danilo Menegatti, Camilla Bianchi, Filippo Federiconi, Alessandro Giuseppi

Proceedings of the 11th International Conference on Control, 2025

A Quantitative Comparison of Deep Reinforcement Learning Algorithms for Type 1 Diabetes Control.

Federico Baldisseri, Mohab M. H. Atanasious, Valentina Becchetti, Antonio Di Paola, Giada Lops, Danilo Menegatti, Andrea Wrona, Saverio Mascolo, Francesco Delli Priscoli

Proceedings of the 11th International Conference on Control, 2025

A Physics-Informed Neural Networks based method for Interconnection and Damping Assignment Passivity-Based Control.

Antonio Di Paola, Arturo Maiani, Danilo Menegatti

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

A Deep Reinforcement Learning Control Framework for Medical Image Augmentation.

Andrea Wrona, Federico Baldisseri, Francesco Liberati, Danilo Menegatti, Francesco Delli Priscoli, Marilena Vendittelli

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

Decentralised learning for Intelligent Control Systems.

Danilo Menegatti

PhD thesis, 2024

Identifying chaotic dynamics in noisy time series through multimodal deep neural networks.

Alessandro Giuseppi, Danilo Menegatti, Antonio Pietrabissa

Mach. Learn. Sci. Technol., 2024

Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes.

Valentina Becchetti, Mohab M. H. Atanasious, Danilo Menegatti, Federico Baldisseri, Alessandro Giuseppi

Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Deep Reinforcement Learning Control of Type-1 Diabetes with Cross-Patient Generalization.

Mohab M. H. Atanasious, Valentina Becchetti, Federico Baldisseri, Danilo Menegatti, Andrea Wrona

Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Deep Deterministic Policy Gradient Control of Type 1 Diabetes.

Federico Baldisseri, Danilo Menegatti, Andrea Wrona

Proceedings of the European Control Conference, 2024

AdaLightLog: Enhancing Application Logs Anomaly Detection via Adaptive Federating Learning.

Danilo Menegatti, Emanuele De Santis, Stefano Felli, Alessandro Giuseppi

Proceedings of the Critical Information Infrastructures Security, 2024

Deep Reinforcement Learning Platooning Control of Non-Cooperative Autonomous Vehicles in a Mixed Traffic Environment.

Danilo Menegatti, Andrea Wrona, Antonio Di Paola, Simone Gentile, Alessandro Giuseppi

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

Dynamic Topology Optimization for Efficient and Decentralised Federated Learning.

Danilo Menegatti, Alessandro Giuseppi, Cecilia Poli, Antonio Pietrabissa

Proceedings of the IEEE International Conference on Big Data, 2024

2023

A Discrete-Time Multi-Hop Consensus Protocol for Decentralized Federated Learning.

Danilo Menegatti, Alessandro Giuseppi, Sabato Manfredi, Antonio Pietrabissa

IEEE Access, 2023

Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning.

Danilo Menegatti, Antonio Pietrabissa, Sabato Manfredi, Alessandro Giuseppi

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Vertically-Advised Federated Learning for Multi-Strategic Stock Predictions through Stochastic Attention-based LSTM.

Danilo Menegatti, Emanuele Ciccarelli, Michele Viscione, Alessandro Giuseppi

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Deep Image Inpainting to Support Endoscopic Procedures.

Danilo Menegatti, Filippo Betello, Francesco Delli Priscoli, Alessandro Giuseppi

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Landslide Susceptibility Prediction from Satellite Data through an Intelligent System based on Deep Learning.

Alessandro Giuseppi, Leonardo Pio Lo Porto, Andrea Wrona, Danilo Menegatti

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Behavioural Cloning for Serious Games in Support of Pediatric Neurorehabilitation.

Federico Baldisseri, Edoardo Montecchiani, Arturo Maiani, Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa, Vincenzo Fogliati, Francesco Delli Priscoli

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Stability of Non-Cooperative Load Balancing with Time-Varying Latency.

Alessandro Giuseppi, Danilo Menegatti, Antonio Pietrabissa

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection.

Alessandro Giuseppi, Sabato Manfredi, Danilo Menegatti, Cecilia Poli, Antonio Pietrabissa

IEEE Access, 2022

Model Predictive Control for Collision-free Spacecraft Formation with Artificial Potential Functions.

Danilo Menegatti, Alessandro Giuseppi, Antonio Pietrabissa

Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

Decentralized Federated Learning for Nonintrusive Load Monitoring in Smart Energy Communities.

Alessandro Giuseppi, Sabato Manfredi, Danilo Menegatti, Antonio Pietrabissa, Cecilia Poli

Proceedings of the 30th Mediterranean Conference on Control and Automation, 2022

2021

AdaFed: Performance-based Adaptive Federated Learning.

Alessandro Giuseppi, Lucrezia Della Torre, Danilo Menegatti, Antonio Pietrabissa

Proceedings of the ICAAI 2021: The 5th International Conference on Advances in Artificial Intelligence, Virtual Event, United Kingdom, November 20, 2021