Machine Learning and Intelligent Optimization
The LION laboratory (machine Learning and Intelligent OptimizationN) fosters research and development in intelligent optimization and reactive search optimization (RSO) techniques to solve problems in different application areas, including marketing automation and e-commerce, telecommunication networks, ICT, mobile services, big data, cost management, social networks, clustering and pattern recognition in bio-informatics.
We support the integration of different theoretical and practical tools in a creative environment that cuts across the borders of academic disciplines. This is the passion of LION activities. LION is building tools for the new prescriptive analytics wave.
We use data to build models and extract knowledge, we exploit knowledge to automate the discovery of better solutions, we connect insight to decisions and actions.
Publications
2 publications for 4 currently enrolled students
Peeking inside Sparse Neural Networks using Multi-Partite Graph Representations
Cunegatti, Elia; Bucur, Doina; Iacca, Giovanni
2023. - DOI: 10.48550/arXiv.2305.16886
FedEdge: Federated Learning with Docker and Kubernetes for Scalable and Efficient Edge Computing
Hassan, Mir; Leonardo, Lucio; Yildirim, Sinan; Iacca, Giovanni
in 1st International Workshop on Machine Learning for Autonomic System Operation in the Device-Edge-Cloud Continuum (MLSysOps 2023), New York, NY, USA: ACM, 2023. Proceedings of: The International Conference on Embedded Wireless Systems and Networks (EWSN 2023), Rende, Italy, 25th September-27th September 2023
[other topics: Language, Speech and Interaction
