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VALERIO, LORENZO

VALERIO, LORENZO  

Istituto di informatica e telematica - IIT  

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Titolo Data di pubblicazione Autore(i) File
Impact of network topology on the performance of Decentralized Federated Learning 1-gen-2024 Palmieri, Luigi; Boldrini, Chiara; Valerio, Lorenzo; Passarella, Andrea; Conti, Marco
Communication Costs Analysis of Unsupervised Federated Learning: an Anomaly Detection Scenario 1-gen-2023 Nardi, M; Valerio, L; Passarella, A
Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios 1-gen-2023 Palmieri, L; Boldrini, C; Valerio, L; Passarella, A; Conti, M
PerconAI 2023: 2nd Workshop on Pervasive and Resource-Constrained Artificial Intelligence - Welcome from General Chairs 1-gen-2023 Angelov P.; Bernardi M.L.; Nardini F.M.; Pecori R.; Valerio L.
The effect of network topologies on fully decentralized learning: a preliminary investigation 1-gen-2023 Palmieri, L; Valerio, L; Boldrini, C; Passarella, A
Anomaly Detection through Unsupervised Federated Learning 1-gen-2022 M. Nardi ; L. Valerio ; A. Passarella
Dynamic hard pruning of Neural Networks at the edge of the internet 1-gen-2022 Valerio L.; Nardini F.M.; Passarella A.; Perego R.
Federated feature selection for cyber-physical systems of systems 1-gen-2022 Cassara', P.; Gotta, A.; Valerio, L.
Federated semi-supervised classification of multimedia flows for 3D networks 1-gen-2022 Bano, S.; Machumilane, A.; Valerio, L.; Cassara', P.; Gotta, A.
Optimising Cost vs Accuracy of Decentralised Analytics in Fog Computing Environments 1-gen-2022 Valerio, L; Passarella, A; Conti, M
PeRConAI 2022: First Workshop on Pervasive and Resource-Constrained Artificial Intelligence - Welcome from General Chairs 1-gen-2022 Angelov, P; Bernardi, Ml; Nardini, Fm; Pecori, R; Valerio, L
Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial 1-gen-2021 Nardi, M; Valerio, L; Passarella, A
MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments 1-gen-2021 Bajovic, D; Bakhtiarnia, A; Bravos, G; Brutti, A; Burkhardt, F; Cauchi, D; Chazapis, A; Cianco, C; Dall'Asen, N; Delic, V; Dimou, C; Djokic, D; Escobarmolero, A; Esterle, L; Eyben, F; Farella, E; Festi, T; Geromitsos, A; Giakoumakis, G; Hatzivasilis, G; Ioannidis, S; Iosifidis, A; Kallipolitou, T; Kalogiannis, G; Kiousi, A; Kopanaki, D; Marazakis, M; Markopoulou, S; Muscat, A; Paissan, F; Lobo, Tp; Pavlovic, D; Raptis, Tp; Ricci, E; Saez, B; Sahito, F; Scerri, K; Schuller, B; Simic, N; Spanoudakis, G; Tomasi, A; Triantafyllopoulos, A; Valerio, L; Villazan, J; Wang, Y; Xuereb, A; Zammit, J
Optimising cost vs accuracy of decentralised analytics in fog computing environments 1-gen-2021 Valerio, L; Passarella, A; Conti, M
Dynamic hard pruning of neural networks at the edge of the internet 1-gen-2020 Valerio, L; Nardini, Fm; Passarella, A; Perego, R
Optimising cost vs accuracy of decentralised analytics in fog computing environments 1-gen-2020 Valerio, L; Passarella, A; Conti, M
Apprendimento di Reti Neurali su Dispositivi a Risorse Limitate 1-gen-2019 Franco Maria Nardini; Lorenzo Valerio; Andrea Passarella; Raffaele Perego
Apprendimento distribuito e federato basato su Hypothesis Transfer Learning 1-gen-2019 Valerio, Lorenzo; Passarella, Andrea; Conti, Marco
Efficient distributed learning in 5G Fog Computing Environments 1-gen-2019 Valerio, Lorenzo; Passarella, Andrea; Conti, Marco
Hypothesis Transfer Learning for Distributed Knowledge Extraction by Intelligent Machines 1-gen-2019 Valerio, Lorenzo; Passarella, Andrea; Conti, Marco