Publications

Saira Bano, Achilles Machumilane, Lorenzo Valerio, Pietro Cassarà, Alberto Gotta (2022). Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks. 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON).

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Pietro Cassarà, Alberto Gotta, Lorenzo Valerio (2022). Federated feature selection for cyber-physical systems of systems. IEEE Transactions on Vehicular Technology.

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Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego (2022). Dynamic hard pruning of neural networks at the edge of the internet. Journal of Network and Computer Applications.

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Mirko Nardi, Lorenzo Valerio, Andrea Passarella (2022). Anomaly Detection through Unsupervised Federated Learning. arXiv preprint arXiv:2209.04184.

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Lorenzo Valerio, Andrea Passarella, Marco Conti (2021). Optimising cost vs accuracy of decentralised analytics in Fog computing environments. IEEE Transactions on Network Science and Engineering.

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Dragana Bajovic, Arian Bakhtiarnia, George Bravos, Alessio Brutti, Felix Burkhardt, Daniel Cauchi, Antony Chazapis, Claire Cianco, Nicola Dall’Asen, Vlado Delic, others (2021). Marvel: Multimodal extreme scale data analytics for smart cities environments. 2021 International Balkan Conference on Communications and Networking (BalkanCom).

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Mirko Nardi, Lorenzo Valerio, Andrea Passarella (2021). Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial. Third International Workshop on Learning with Imbalanced Domains: Theory and Applications.

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Franco Maria Nardini, Lorenzo Valerio, Raffaele Perego, Andrea Passarella (2019). Learning Effective Neural Networks on Resource-Constrained Devices. 2019 I-RIM Conference.

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Lorenzo Valerio, Andrea Passarella, Marco Conti (2019). Hypothesis Transfer Learning for Distributed Knowledge Extraction by Intelligent Machines. 2019 I-RIM Conference.

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Lorenzo Valerio, Andrea Passarella, Marco Conti (2019). Efficient Distributed Learning in 5G Fog Computing Environments. The 5G Italy Book 2019: a Multiperspective View of 5G.

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Lorenzo Valerio, Andrea Passarella, Marco Conti (2019). Apprendimento distribuito e federato basato su Hypothesis Transfer Learning. Ital-IA - Convegno Nazionale CINI sull’Intelligenza Artificiale.

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Franco Maria Nardini, Lorenzo Valerio, Andrea Passarella, Raffaele Perego (2019). Apprendimento di Reti Neurali su Dispositivi a Risorse Limitate. Ital-IA - Convegno Nazionale CINI sull’Intelligenza Artificiale.

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Lorenzo Valerio, Marco Conti, Andrea Passarella (2018). Energy efficient distributed analytics at the edge of the network for IoT environments. Pervasive and Mobile Computing.

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Lorenzo Valerio, Andrea Passarella, Marco Conti (2017). Optimal trade-off between accuracy and network cost of distributed learning in Mobile Edge Computing: An analytical approach. 2017 IEEE 18th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

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Lorenzo Valerio, Andrea Passarella, Marco Conti (2017). A communication efficient distributed learning framework for smart environments. Pervasive and Mobile Computing.

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Filippo Rebecchi, Lorenzo Valerio, Raffaele Bruno, Vania Conan, Marcelo Dias De Amorim, Andrea Passarella (2016). Stratégie d'apprentissage pour le multicast LTE avec communications D2D. Rencontres francophones sur la conception de protocoles, l’évaluation de performance et l’expérimentation des réseaux de communication (CoRes 2016).

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Lorenzo Valerio, Matteo Mordacchini (2016). Special Section on Opportunistic Communication and Computation. Computer Communications.

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Lorenzo Valerio, Andrea Passarella, Marco Conti (2016). Hypothesis transfer learning for efficient data computing in smart cities environments. 2016 IEEE International Conference on Smart Computing (SMARTCOMP).

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Teemu Kärkkäinen, Paul Houghton, Lorenzo Valerio, Andrea Passarella, Jörg Ott (2016). Here&now: data-centric local social interactions through opportunistic networks. Proceedings of the Eleventh ACM Workshop on Challenged Networks.

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Matteo Mordacchini, Lorenzo Valerio, Marco Conti, Andrea Passarella (2016). Design and evaluation of a cognitive approach for disseminating semantic knowledge and content in opportunistic networks. Computer Communications.

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Lorenzo Valerio, Andrea Passarella, Marco Conti (2016). Accuracy vs. traffic trade-off of Learning IoT Data Patterns at the Edge with Hypothesis Transfer Learning. 2nd International Forum on Research and Technologies for Society and Industry.

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Elena Pagani, Lorenzo Valerio, Gian Paolo Rossi (2015). Weak social ties improve content delivery in behavior-aware opportunistic networks. Ad Hoc Networks.

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Lorenzo Valerio, Andrea Passarella, Marco Conti, Elena Pagani (2015). Scalable data dissemination in opportunistic networks through cognitive methods. Pervasive and Mobile Computing.

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Lorenzo Valerio, F Ben Abdesslemy, A Lindgreny, Raffaele Bruno, Andrea Passarella, Markus Luoto (2015). Offloading cellular traffic with opportunistic networks: a feasibility study. 2015 14th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET).

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Lorenzo Valerio, Raffaele Bruno, Andrea Passarella (2015). Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning. Computer Communications.

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Filippo Rebecchi, Lorenzo Valerio, Raffaele Bruno, Vania Conan, Marcelo Dias De Amorim, Andrea Passarella (2015). A joint multicast/D2D learning-based approach to LTE traffic offloading. Computer Communications.

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Lorenzo Valerio, Raffaele Bruno, Andrea Passarella (2014). Adaptive data offloading in opportunistic networks through an actor-critic learning method. Proceedings of the 9th ACM MobiCom workshop on Challenged networks.

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Lorenzo Valerio, Marco Conti, Elena Pagani, Andrea Passarella (2013). Autonomic Cognitive-based Data Dissemination in Opportunistic Networks. The 14th International Symposium on a World of Wireless, Mobile and Multimedia Networks.

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Emanuele Massaro, Andrea Guazzini, Lorenzo Valerio, Andrea Passerella, Franco Bagnoli (2013). Application of a cognitive-inspired algorithm for detecting communities in mobility networks. 2013 International Conference on Cloud and Green Computing.

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Emanuele Massaro, Andrea Guazzini, Franco Bagnoli, Andrea Passarella, Lorenzo Valerio (2013). A local algorithm for detecting community structures in dynamic networks.

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Matteo Mordacchini, Lorenzo Valerio, Marco Conti, Andrea Passarella (2013). A cognitive-based solution for semantic knowledge and content dissemination in opportunistic networks. IEEE WoWMoM workshop on Autonomic and Opportunistic Communications.

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Lorenzo Valerio, Bruno Apolloni, Giovanni NALDI (2012). Stochastic mobility models in space and time.

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Bruno Apolloni, Simone Bassis, Lorenzo Valerio (2011). Training a network of mobile neurons. The 2011 International Joint Conference on Neural Networks.

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Bruno Apolloni, Simone Bassis, Elena Pagani, Gian Paolo Rossi, Lorenzo Valerio (2011). Mobility timing for agent communities, a cue for advanced connectionist systems. IEEE transactions on neural networks.

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Bruno Apolloni, Simone Bassis, Lorenzo Valerio (2011). Kinetic Morphogenesis of a Multilayer Perceptron.. IJCCI (NCTA).

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Bruno Apolloni, Simone Bassis, Lorenzo Valerio (2011). A unified learning space for a network of mobile neurons. Neural Nets WIRN11.

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Bruno Apolloni, Simone Bassis, Gian Luca Galliani, Lorenzo Valerio (2010). Wireless domotic: an enabling platform for granular intelligence. 2010 5th International Conference on Future Information Technology.

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Bruno Apolloni, Dario Malchiodi, Lorenzo Valerio (2010). Relevance regression learning with support vector machines. Nonlinear Analysis: Theory, Methods & Applications.

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Paolo Meroni, Elena Pagani, Gian Paolo Rossi, Lorenzo Valerio (2010). An opportunistic platform for android-based mobile devices. Proceedings of the Second International Workshop on Mobile Opportunistic Networking.

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B Apolloni, S Bassis, L Valerio (2010). A moving agent metaphor to model some motions of the brain actors. Conference “Evolution in Communication and Neural Processing from First Organisms and Plants to Man… and Beyond.

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Bruno Apolloni, Simone Bassis, Lorenzo Valerio (2009). Toward a space-time mobility model for social communities. Proceeding of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28–30 2009.

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Dario Malchiodi, Simone Bassis, Lorenzo Valerio (2009). Discovering regression data quality through clustering methods. New Directions in Neural Networks.

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