Discovering regression data quality through clustering methods. - Dario Malchiodi; Simone Bassis; Lorenzo Valerio (WIRN, 2008)

Toward a space-time mobility model for social communities. - Bruno Apolloni; Simone Bassis; Lorenzo Valerio (WIRN, 2009)

An opportunistic platform for Android-based mobile devices. - Paolo Meroni; Elena Pagani; Gian Paolo Rossi 001; Lorenzo Valerio (MobiOpp, 2010)

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

Training a network of mobile neurons. - Bruno Apolloni; Simone Bassis; Lorenzo Valerio (IJCNN, 2011)

A unified learning space for a network of mobile neurons. - Bruno Apolloni; Simone Bassis; Lorenzo Valerio (WIRN, 2011)

Mobility Timing for Agent Communities, a Cue for Advanced Connectionist Systems. - Bruno Apolloni; Simone Bassis; Elena Pagani; Gian Paolo Rossi 001; Lorenzo Valerio (IEEE Trans. Neural Networks, 2011)

Application of a Cognitive-Inspired Algorithm for Detecting Communities in Mobility Networks. - Emanuele Massaro; Andrea Guazzini; Lorenzo Valerio; Andrea Passarella; Franco Bagnoli (CGC, 2013)

A cognitive-based solution for semantic knowledge and content dissemination in opportunistic networks. - Matteo Mordacchini; Lorenzo Valerio; Marco Conti; Andrea Passarella (WOWMOM, 2013)

Autonomic cognitive-based data dissemination in Opportunistic Networks. - Lorenzo Valerio; Marco Conti; Elena Pagani; Andrea Passarella (WOWMOM, 2013)

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

Adaptive data offloading in opportunistic networks through an actor-critic learning method. - Lorenzo Valerio; Raffaele Bruno 001; Andrea Passarella (CHANTS@MobiCom, 2014)

Multi-perspective investigation of the effectiveness of anti-thrombotic treatments in association with shear-mediated platelet activation. - Lorenzo Valerio (2014)

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 (EMBC, 2015)

Offloading cellular traffic with opportunistic networks: a feasibility study. - Lorenzo Valerio; F. Ben Abdesslemy; A. Lindgreny; Raffaele Bruno 001; Andrea Passarella; M. Luoto (Med-Hoc-Net, 2015)

Weak social ties improve content delivery in behavior-aware opportunistic networks. - Elena Pagani; Lorenzo Valerio; Gian Paolo Rossi 001 (Ad Hoc Networks, 2015)

A joint multicast/D2D learning-based approach to LTE traffic offloading. - Filippo Rebecchi; Lorenzo Valerio; Raffaele Bruno 001; Vania Conan; Marcelo Dias de Amorim; Andrea Passarella (Comput. Commun., 2015)

Cellular traffic offloading via opportunistic networking with reinforcement learning. - Lorenzo Valerio; Raffaele Bruno 001; Andrea Passarella (Comput. Commun., 2015)

Scalable data dissemination in opportunistic networks through cognitive methods. - Lorenzo Valerio; Andrea Passarella; Marco Conti; Elena Pagani (Pervasive Mob. Comput., 2015)

Here&now: data-centric local social interactions through opportunistic networks: demo. - Teemu Kärkkäinen; Paul Houghton; Lorenzo Valerio; Andrea Passarella; Jörg Ott (CHANTS@MOBICOM, 2016)

Accuracy vs. traffic trade-off of learning IoT data patterns at the edge with hypothesis transfer learning. - Lorenzo Valerio; Andrea Passarella; Marco Conti (RTSI, 2016)

Hypothesis Transfer Learning for Efficient Data Computing in Smart Cities Environments. - Lorenzo Valerio; Andrea Passarella; Marco Conti (SMARTCOMP, 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)

Special Section on Opportunistic Communication and Computation. - Lorenzo Valerio; Matteo Mordacchini (Comput. Commun., 2016)

Optimal trade-off between accuracy and network cost of distributed learning in Mobile Edge Computing: An analytical approach. - Lorenzo Valerio; Andrea Passarella; Marco Conti (WoWMoM, 2017)

A communication efficient distributed learning framework for smart environments. - Lorenzo Valerio; Andrea Passarella; Marco Conti (Pervasive Mob. Comput., 2017)

Energy efficient distributed analytics at the edge of the network for IoT environments. - Lorenzo Valerio; Marco Conti; Andrea Passarella (Pervasive Mob. Comput., 2018)

Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial. - Mirko Nardi; Lorenzo Valerio; Andrea Passarella (LIDTA@ECML/PKDD, 2021)

SAI Simulator for Social AI Gossiping. - Lorenzo Valerio; Chiara Boldrini; Andrea Passarella (Zenodo, 2021)

Anomaly Detection Through Unsupervised Federated Learning. - Mirko Nardi; Lorenzo Valerio; Andrea Passarella (MSN, 2022)

Federated Semi-Supervised Classification of Multimedia Flows for 3D Networks. - Saira Bano; Achilles Machumilane; Lorenzo Valerio; Pietro Cassarà; Alberto Gotta (CoRR, 2022)

Dynamic hard pruning of Neural Networks at the edge of the internet. - Lorenzo Valerio; Franco Maria Nardini; Andrea Passarella; Raffaele Perego 001 (J. Netw. Comput. Appl., 2022)

Optimising Cost vs Accuracy of Decentralised Analytics in Fog Computing Environments. - Lorenzo Valerio; Andrea Passarella; Marco Conti (IEEE Trans. Netw. Sci. Eng., 2022)

Federated Feature Selection for Cyber-Physical Systems of Systems. - Pietro Cassarà; Alberto Gotta; Lorenzo Valerio (IEEE Trans. Veh. Technol., 2022)

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 (ICT-DM, 2023)

Communication Costs Analysis of Unsupervised Federated Learning: an Anomaly Detection Scenario. - Mirko Nardi; Lorenzo Valerio; Andrea Passarella (Ital-IA, 2023)

The effect of network topologies on fully decentralized learning: a preliminary investigation. - Luigi Palmieri; Lorenzo Valerio; Chiara Boldrini; Andrea Passarella (NetAISys@MobiSys, 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)

Variational Autoencoders for Noise Resistant Traffic Generation in B5G Networks. - Saira Bano; Pietro Cassarà; Lorenzo Valerio (MeditCom, 2024)

Impact of network topology on the performance of Decentralized Federated Learning. - Luigi Palmieri; Chiara Boldrini; Lorenzo Valerio; Andrea Passarella; Marco Conti (Comput. Networks, 2024)

Initialisation and Topology Effects in Decentralised Federated Learning. - Arash Badie Modiri; Chiara Boldrini; Lorenzo Valerio; János Kertész; Márton Karsai (CoRR, 2024)

FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher. - Alessio Mora; Lorenzo Valerio; Paolo Bellavista; Andrea Passarella (CoRR, 2024)

Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions. - Mirko Nardi; Lorenzo Valerio; Andrea Passarella (CoRR, 2024)

Robustness of decentralised learning to nodes and data disruption. - Luigi Palmieri; Chiara Boldrini; Lorenzo Valerio; Andrea Passarella; Marco Conti; János Kertész (Comput. Commun., 2025)

The Built-In Robustness of Decentralized Federated Averaging to Bad Data. - Samuele Sabella; Chiara Boldrini; Lorenzo Valerio; Andrea Passarella; Marco Conti (CoRR, 2025)