Lorenzo Valerio

According to our database, Lorenzo Valerio authored at least 40 papers between 2008 and 2024.

Collaborative distances:

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

2024

Robustness of Decentralised Learning to Nodes and Data Disruption.

Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio, Andrea Passarella, Marco Conti, János Kertész

CoRR, 2024

Initialisation and Topology Effects in Decentralised Federated Learning.

Arash Badie Modiri, Chiara Boldrini, Lorenzo Valerio, János Kertész, Márton Karsai

CoRR, 2024

Impact of network topology on the performance of Decentralized Federated Learning.

Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio, Andrea Passarella, Marco Conti

CoRR, 2024

2023

Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity.

Lorenzo Valerio, Chiara Boldrini, Andrea Passarella, János Kertész, Márton Karsai, Gerardo Iñiguez

CoRR, 2023

The effect of network topologies on fully decentralized learning: a preliminary investigation.

Luigi Palmieri, Lorenzo Valerio, Chiara Boldrini, Andrea Passarella

CoRR, 2023

Communication Costs Analysis of Unsupervised Federated Learning: an Anomaly Detection Scenario.

Mirko Nardi, Lorenzo Valerio, Andrea Passarella

Proceedings of the Italia Intelligenza Artificiale, 2023

Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios.

Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio, Andrea Passarella, Marco Conti

Proceedings of the International Conference on Information and Communication Technologies for Disaster Management, 2023

2022

Federated Feature Selection for Cyber-Physical Systems of Systems.

Pietro Cassarà, Alberto Gotta, Lorenzo Valerio

IEEE Trans. Veh. Technol., 2022

Optimising Cost vs Accuracy of Decentralised Analytics in Fog Computing Environments.

Lorenzo Valerio, Andrea Passarella, Marco Conti

IEEE Trans. Netw. Sci. Eng., 2022

Dynamic hard pruning of Neural Networks at the edge of the internet.

Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego

J. Netw. Comput. Appl., 2022

Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks.

Saira Bano, Achilles Machumilane, Lorenzo Valerio, Pietro Cassarà, Alberto Gotta

CoRR, 2022

Anomaly Detection Through Unsupervised Federated Learning.

Mirko Nardi, Lorenzo Valerio, Andrea Passarella

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

2021

Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial.

Mirko Nardi, Lorenzo Valerio, Andrea Passarella

Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021

2018

Energy efficient distributed analytics at the edge of the network for IoT environments.

Lorenzo Valerio, Marco Conti, Andrea Passarella

Pervasive Mob. Comput., 2018

2017

A communication efficient distributed learning framework for smart environments.

Lorenzo Valerio, Andrea Passarella, Marco Conti

Pervasive Mob. Comput., 2017

Optimal trade-off between accuracy and network cost of distributed learning in Mobile Edge Computing: An analytical approach.

Lorenzo Valerio, Andrea Passarella, Marco Conti

Proceedings of the 18th IEEE International Symposium on A World of Wireless, 2017

2016

Special Section on Opportunistic Communication and Computation.

Lorenzo Valerio, Matteo Mordacchini

Comput. Commun., 2016

Design and evaluation of a cognitive approach for disseminating semantic knowledge and content in opportunistic networks.

Matteo Mordacchini, Lorenzo Valerio, Marco Conti, Andrea Passarella

Comput. Commun., 2016

Hypothesis Transfer Learning for Efficient Data Computing in Smart Cities Environments.

Lorenzo Valerio, Andrea Passarella, Marco Conti

Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016

Accuracy vs. traffic trade-off of learning IoT data patterns at the edge with hypothesis transfer learning.

Lorenzo Valerio, Andrea Passarella, Marco Conti

Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016

Here&now: data-centric local social interactions through opportunistic networks: demo.

Teemu Kärkkäinen, Paul Houghton, Lorenzo Valerio, Andrea Passarella, Jörg Ott

Proceedings of the Eleventh ACM Workshop on Challenged Networks, 2016

2015

Scalable data dissemination in opportunistic networks through cognitive methods.

Lorenzo Valerio, Andrea Passarella, Marco Conti, Elena Pagani

Pervasive Mob. Comput., 2015

Cellular traffic offloading via opportunistic networking with reinforcement learning.

Lorenzo Valerio, Raffaele Bruno, Andrea Passarella

Comput. Commun., 2015

A joint multicast/D2D learning-based approach to LTE traffic offloading.

Filippo Rebecchi, Lorenzo Valerio, Raffaele Bruno, Vania Conan, Marcelo Dias de Amorim, Andrea Passarella

Comput. Commun., 2015

Weak social ties improve content delivery in behavior-aware opportunistic networks.

Elena Pagani, Lorenzo Valerio, Gian Paolo Rossi

Ad Hoc Networks, 2015

Offloading cellular traffic with opportunistic networks: a feasibility study.

Lorenzo Valerio, F. Ben Abdesslemy, A. Lindgreny, Raffaele Bruno, Andrea Passarella, M. Luoto

Proceedings of the 14th Annual Mediterranean Ad Hoc Networking Workshop, 2015

Shear-mediated platelet activation in patients implanted with continuous flow LVADs: A preliminary study utilizing the platelet activity state (PAS) assay.

Lorenzo Valerio, Filippo Consolo, Danny Bluestein, Phat L. Tran, Marvin J. Slepian, Alberto Redaelli, Federico Pappalardo

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Multi-perspective investigation of the effectiveness of anti-thrombotic treatments in association with shear-mediated platelet activation.

Lorenzo Valerio

PhD thesis, 2014

Adaptive data offloading in opportunistic networks through an actor-critic learning method.

Lorenzo Valerio, Raffaele Bruno, Andrea Passarella

Proceedings of the 9th ACM MobiCom workshop on Challenged networks, 2014

2013

A local algorithm for detecting community structures in dynamic networks.

Emanuele Massaro, Lorenzo Valerio, Andrea Guazzini, Andrea Passarella, Franco Bagnoli

CoRR, 2013

Autonomic cognitive-based data dissemination in Opportunistic Networks.

Lorenzo Valerio, Marco Conti, Elena Pagani, Andrea Passarella

Proceedings of the IEEE 14th International Symposium on "A World of Wireless, 2013

A cognitive-based solution for semantic knowledge and content dissemination in opportunistic networks.

Matteo Mordacchini, Lorenzo Valerio, Marco Conti, Andrea Passarella

Proceedings of the IEEE 14th International Symposium on "A World of Wireless, 2013

Application of a Cognitive-Inspired Algorithm for Detecting Communities in Mobility Networks.

Emanuele Massaro, Andrea Guazzini, Lorenzo Valerio, Andrea Passarella, Franco Bagnoli

Proceedings of the 2013 International Conference on Cloud and Green Computing, Karlsruhe, Germany, September 30, 2013

2011

Mobility Timing for Agent Communities, a Cue for Advanced Connectionist Systems.

Bruno Apolloni, Simone Bassis, Elena Pagani, Gian Paolo Rossi, Lorenzo Valerio

IEEE Trans. Neural Networks, 2011

A unified learning space for a network of mobile neurons.

Bruno Apolloni, Simone Bassis, Lorenzo Valerio

Proceedings of the Neural Nets WIRN11, 2011

Training a network of mobile neurons.

Bruno Apolloni, Simone Bassis, Lorenzo Valerio

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Kinetic Morphogenesis of a Multilayer Perceptron.

Bruno Apolloni, Simone Bassis, Lorenzo Valerio

Proceedings of the NCTA 2011, 2011

2010

An opportunistic platform for Android-based mobile devices.

Paolo Meroni, Elena Pagani, Gian Paolo Rossi, Lorenzo Valerio

Proceedings of the Second International Workshop on Mobile Opportunistic Networking, 2010

2009

Toward a space-time mobility model for social communities.

Bruno Apolloni, Simone Bassis, Lorenzo Valerio

Proceedings of the Neural Nets WIRN09, 2009

2008

Discovering regression data quality through clustering methods.

Dario Malchiodi, Simone Bassis, Lorenzo Valerio

Proceedings of the New Directions in Neural Networks, 2008