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Emilio Paolini
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2020 – today
- 2024
- [j5]Emilio Paolini, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli:
Real-Time Network Packet Classification Exploiting Computer Vision Architectures. IEEE Open J. Commun. Soc. 5: 1155-1166 (2024) - [j4]Emilio Paolini, Lorenzo De Marinis, Davide Scano, Francesco Paolucci:
In-Line Any-Depth Deep Neural Networks Using P4 Switches. IEEE Open J. Commun. Soc. 5: 3556-3567 (2024) - [c15]Abdelghani Bourenane, Emilio Paolini, Nicola Andriolli, Luca Valcarenghi:
A Programmable 5G DU-RU SmartNIC based on MPSoC FPGA. HPSR 2024: 209-214 - [c14]Nicola Andriolli, Emilio Paolini, Marco Brunero, Paolo Martelli, Alberto Gatto, M. Ferrari, Alessio Giorgetti:
Software-defined control of integrated QKD and classical optical networks. ICTON 2024: 1-4 - [c13]Gennaro Paduanelli, Marco Ferrari, Alessio Giorgetti, Nicola Andriolli, Elisabetta Storelli, Antonino Cacicia, Rudi Paolo Paganelli, Alberto Tarable, Emilio Paolini, Giada Sajeva, Marco Brunero, Alessandro Gagliano, Paolo Martelli, Pietro Noviello, Giovanni Schmid, Alberto Gatto:
Quantum-assisted digital signature: a new service for future quantum-integrated optical networks. ICTON 2024: 1-4 - [c12]Emilio Paolini, Luca Valcarenghi, Nicola Andriolli, Luca Maggiani, Flavio Esposito:
Enabling Lightweight Federated Learning in NextG Wireless Networks. NetSoft 2024: 304-306 - [c11]Alessandro Pacini, Andrea Sgambelluri, Carlo Centofanti, Andrea Marotta, Emilio Paolini, Alessio Giorgetti, Luca Valcarenghi:
Hierarchical Software-Defined Control for coordinated RAN and PON-based Transport Scaling. NOMS 2024: 1-3 - [c10]Alessio Giorgetti, Nicola Andriolli, Elisabetta Storelli, Marco Ferrari, Gennaro Paduanelli, Antonino Cacicia, Rudi Paolo Paganelli, Alberto Tarable, Emilio Paolini, Giada Sajeva, Marco Brunero, Alessandro Gagliano, Paolo Martelli, Pietro Noviello, Giovanni Schmid, Alberto Gatto:
Quantum-Assisted Digital Signature in an SDN-controlled Optical Network. OFC 2024: 1-3 - [c9]Emilio Paolini, Lorenzo De Marinis, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli:
Activation Stretching for Tackling Noise in Photonic Aware Neural Networks. OFC 2024: 1-3 - 2023
- [j3]Emilio Paolini, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli:
Real-Time Clustering Based on Deep Embeddings for Threat Detection in 6G Networks. IEEE Access 11: 115827-115835 (2023) - [j2]Emilio Paolini, Lorenzo De Marinis, Luca Maggiani, Marco Cococcioni, Nicola Andriolli:
CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks. Neural Networks 162: 531-540 (2023) - [c8]Emilio Paolini, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli:
Photonic-accelerated AI for cybersecurity in sustainable 6G networks. EuCNC/6G Summit 2023: 341-346 - [c7]Lorenzo De Marinis, Emilio Paolini, Rana Abu Bakar, Filippo Cugini, Francesco Paolucci:
Cascaded Look Up Table Distillation of P4 Deep Neural Network Switches. GLOBECOM 2023: 2111-2116 - [c6]Luca Valcarenghi, Piero Castoldi, Andrea Sgambelluri, Emilio Paolini, Alessandro Pacini:
A Flexible Forecasting Platform Enabling Zero Touch Networking and Digital Twinning. ICTON 2023: 1-4 - [c5]Emilio Paolini, Lorenzo De Marinis, Giampiero Contestabile, S. Gupta, Luca Maggiani, Nicola Andriolli:
Validation of Photonic Neural Networks in Health Scenarios. PSC 2023: 1-3 - 2022
- [j1]Emilio Paolini, Lorenzo De Marinis, Marco Cococcioni, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli:
Photonic-aware neural networks. Neural Comput. Appl. 34(18): 15589-15601 (2022) - [c4]Emilio Paolini, Federico Civerchia, Lorenzo De Marinis, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli:
Photonic-aware Neural Networks for Packet Classification in URLLC scenarios. HPSR 2022: 218-223 - [c3]Emilio Paolini, Federico Civerchia, Lorenzo De Marinis, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli:
Photonic-aware Neural Networks for Packet Classification in Beyond 5G Networks. NoF 2022: 1-5 - [c2]Emilio Paolini, Lorenzo De Marinis, Marco Cococcioni, Luca Valcarenghi, Luca Maggiani, Nicola Andriolli:
Photonic-Aware Neural Network: a fixed-point emulation of photonic hardware. OECC/PSC 2022: 1-3 - [c1]Emilio Paolini, Lorenzo De Marinis, Luca Maggiani, Nicola Andriolli:
Accelerating Pooling Layers in Photonic Convolutional Neural Networks. OECC/PSC 2022: 1-3
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