Alessio Orsino

According to our database, Alessio Orsino authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices.

Riccardo Cantini, Alessio Orsino, Domenico Talia

J. Big Data, December, 2024

Block size estimation for data partitioning in HPC applications using machine learning techniques.

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez-Novoa

J. Big Data, December, 2024

Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation.

Riccardo Cantini, Giada Cosenza, Alessio Orsino, Domenico Talia

CoRR, 2024

Developing Cross-Platform and Fast-Responsive Applications on the Edge-Cloud Continuum.

Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Aleandro Presta, Andrea Vinci

Proceedings of the 15th IFIP Wireless and Mobile Networking Conference, 2024

Programming Big Data Applications - Scalable Tools and Frameworks for Your Needs

Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro, Riccardo Cantini, Alessio Orsino

WorldScientific, ISBN: 9781800615069, 2024

2023

Edge-Cloud Continuum Solutions for Urban Mobility Prediction and Planning.

Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

IEEE Access, 2023

Using the Compute Continuum for Data Analysis: Edge-cloud Integration for Urban Mobility.

Loris Belcastro, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

Scaling Machine Learning at the Edge-Cloud: A Distributed Computing Perspective.

Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

2022

Programming big data analysis: principles and solutions.

Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

J. Big Data, 2022

Block size estimation for data partitioning in HPC applications using machine learning techniques.

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio, Rosa M. Badia, Jorge Ejarque, Fernando Vázquez

CoRR, 2022

Edge Computing Solutions for Distributed Machine Learning.

Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021

Exploiting Machine Learning for Improving In-Memory Execution of Data-Intensive Workflows on Parallel Machines.

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio

Future Internet, 2021

A visual tool for reducing returns in e-commerce platforms.

Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Martina Passarelli, Paolo Trunfio

Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021