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VALERIO, LORENZO

VALERIO, LORENZO  

Istituto di informatica e telematica - IIT  

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Risultati 1 - 20 di 44 (tempo di esecuzione: 0.02 secondi).
Titolo Data di pubblicazione Autore(i) File
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 Cassarà, P; Gotta, A; Valerio, L
Federated semi-supervised classification of multimedia flows for 3D networks 1-gen-2022 Bano, S; Machumilane, A; Valerio, L; Cassarà, P; Gotta, A
Optimising Cost vs Accuracy of Decentralised Analytics in Fog Computing Environments 1-gen-2022 L. Valerio; A. Passarella; M. Conti
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 T.P.; Pavlovic D.; Raptis T.P.; 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
INTESA - Risultati della validazione e sperimentazione del dimostratore 1-gen-2019 Magrini, M; Coscetti, S; Palumbo, F; La Rosa, D; Delmastro, F; Di Martino, F; Distefano, E; Valerio, L; Bruno, R; Campana, Mg; Dolciotti, C; ESA Systems, Srl; Kell, Srl