Paolo Di Lorenzo

198 papers A* 3B 6Misc 32Journal 117Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Semantic Alignment over Interference Channels: A Game-Theoretic Approach. CoRR Giuseppe Di Poce, Mattia Merluzzi, Emilio Calvanese Strinati, Paolo Di Lorenzo
2026	J	`jnl`	Federated Latent Space Alignment for Multi-user Semantic Communications. CoRR Giuseppe Di Poce, Mario Edoardo Pandolfo, Emilio Calvanese Strinati, Paolo Di Lorenzo
2026	J	`jnl`	Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications. IEEE Trans. Cogn. Commun. Netw. Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
2026	J	`jnl`	Learning Consistent Causal Abstraction Networks. CoRR Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa
2026	J	`jnl`	Metasurfaces-Integrated Wireless Neural Networks for Lightweight Over-The-Air Edge Inference. CoRR Kyriakos Stylianopoulos, Mario Edoardo Pandolfo, Paolo Di Lorenzo, George C. Alexandropoulos
2026	J	`jnl`	Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks. IEEE Trans. Wirel. Commun. Kyriakos Stylianopoulos, Paolo Di Lorenzo, George C. Alexandropoulos
2026	J	`jnl`	SPARQ: An Optimization Framework for the Distribution of AI-Intensive Applications Under Non-Linear Delay Constraints. IEEE Trans. Netw. Serv. Manag. Pietro Spadaccino, Paolo Di Lorenzo, Sergio Barbarossa, Antonia Maria Tulino, Jaime Llorca
2026	J	`jnl`	Topological Adaptive Least Mean Squares Algorithms Over Simplicial Complexes. IEEE Trans. Signal Inf. Process. over Networks Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo
2026	J	`jnl`	Topological Dictionary Learning. IEEE Trans. Signal Process. Enrico Grimaldi, Claudio Battiloro, Paolo Di Lorenzo
2025	J	`jnl`	Adaptive Semantic Token Communication for Transformer-based Edge Inference. CoRR Alessio Devoto, Jary Pomponi, Mattia Merluzzi, Paolo Di Lorenzo, Simone Scardapane
2025	J	`jnl`	Adaptive layer and token selection for efficient fine-tuning of vision transformers. Neurocomputing Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane
2025	A*	`conf`	Causal Abstraction Learning based on the Semantic Embedding Principle. ICML Gabriele D'Acunto, Fabio Massimo Zennaro, Yorgos Felekis, Paolo Di Lorenzo
2025	J	`jnl`	Causal Abstraction Learning based on the Semantic Embedding Principle. CoRR Gabriele D'Acunto, Fabio Massimo Zennaro, Yorgos Felekis, Paolo Di Lorenzo
2025	—	`conf`	Colored Markov Random Fields for Probabilistic Topological Modeling. IEEECONF Lorenzo Marinucci, Leonardo Di Nino, Gabriele D'Acunto, Mario Edoardo Pandolfo, Paolo Di Lorenzo, Sergio Barbarossa
2025	J	`jnl`	Colored Markov Random Fields for Probabilistic Topological Modeling. CoRR Lorenzo Marinucci, Leonardo Di Nino, Gabriele D'Acunto, Mario Edoardo Pandolfo, Paolo Di Lorenzo, Sergio Barbarossa
2025	J	`jnl`	Communication Efficient Split Learning of ViTs with Attention-based Double Compression. CoRR Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Simone Scardapane
2025	—	`conf`	Federated Latent Space Alignment for Multi-User Semantic Communications. SPAWC Giuseppe Di Poce, Mario Edoardo Pandolfo, Emilio Calvanese Strinati, Paolo Di Lorenzo
2025	J	`jnl`	Frame-Based Zero-Shot Semantic Channel Equalization for AI-Native Communications. CoRR Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
2025	B	`conf`	Latent Space Alignment for AI-Native MIMO Semantic Communications. IJCNN Mario Edoardo Pandolfo, Simone Fiorellino, Emilio Calvanese Strinati, Paolo Di Lorenzo
2025	J	`jnl`	Latent Space Alignment for AI-Native MIMO Semantic Communications. CoRR Mario Edoardo Pandolfo, Simone Fiorellino, Emilio Calvanese Strinati, Paolo Di Lorenzo
2025	—	`conf`	Learning Network Sheaves for AI-native Semantic Communication. IEEECONF Enrico Grimaldi, Mario Edoardo Pandolfo, Gabriele D'Acunto, Sergio Barbarossa, Paolo Di Lorenzo
2025	J	`jnl`	Learning Network Sheaves for AI-native Semantic Communication. CoRR Enrico Grimaldi, Mario Edoardo Pandolfo, Gabriele D'Acunto, Sergio Barbarossa, Paolo Di Lorenzo
2025	J	`jnl`	Learning Sheaf Laplacian Optimizing Restriction Maps. CoRR Leonardo Di Nino, Sergio Barbarossa, Paolo Di Lorenzo
2025	J	`jnl`	Learning the Structure of Connection Graphs. CoRR Leonardo Di Nino, Gabriele D'Acunto, Sergio Barbarossa, Paolo Di Lorenzo
2025	J	`jnl`	Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks. CoRR Kyriakos Stylianopoulos, Paolo Di Lorenzo, George C. Alexandropoulos
2025	J	`jnl`	Over-the-Air Goal-Oriented Communications. CoRR Kyriakos Stylianopoulos, Paolo Di Lorenzo, George C. Alexandropoulos
2025	J	`jnl`	Over-the-Air Semantic Alignment with Stacked Intelligent Metasurfaces. CoRR Mario Edoardo Pandolfo, Kyriakos Stylianopoulos, George C. Alexandropoulos, Paolo Di Lorenzo
2025	J	`jnl`	Quantum Simplicial Neural Networks. CoRR Simone Piperno, Claudio Battiloro, Andrea Ceschini, Francesca Dominici, Paolo Di Lorenzo, Massimo Panella
2025	J	`jnl`	RIS-aided Latent Space Alignment for Semantic Channel Equalization. CoRR Tomás Hüttebräucker, Mario Edoardo Pandolfo, Simone Fiorellino, Emilio Calvanese Strinati, Paolo Di Lorenzo
2025	J	`jnl`	SPARQ: An Optimization Framework for the Distribution of AI-Intensive Applications under Non-Linear Delay Constraints. CoRR Pietro Spadaccino, Paolo Di Lorenzo, Sergio Barbarossa, Antonia M. Tulino, Jaime Llorca
2025	J	`jnl`	Semantic Channel Equalization Strategies for Deep Joint Source-Channel Coding. CoRR Lorenzo Pannacci, Simone Fiorellino, Mario Edoardo Pandolfo, Emilio Calvanese Strinati, Paolo Di Lorenzo
2025	J	`jnl`	Semantic and Goal-oriented Wireless Network Coverage: The Area of Effectiveness. CoRR Mattia Merluzzi, Giuseppe Di Poce, Paolo Di Lorenzo
2025	J	`jnl`	Simplicial Gaussian Models: Representation and Inference. CoRR Lorenzo Marinucci, Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa
2025	J	`jnl`	The Causal Abstraction Network: Theory and Learning. CoRR Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa
2025	J	`jnl`	Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes. CoRR Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo
2025	J	`jnl`	Topological Neural Networks over the Air. CoRR Simone Fiorellino, Claudio Battiloro, Paolo Di Lorenzo
2025	J	`jnl`	Topological signal processing and learning: Recent advances and future challenges. Signal Process. Elvin Isufi, Geert Leus, Baltasar Beferull-Lozano, Sergio Barbarossa, Paolo Di Lorenzo
2024	J	`jnl`	Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning. CoRR Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane
2024	—	`conf`	Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. GLOBECOM (Workshops) Alessio Devoto, Jary Pomponi, Simone Petruzzi, Paolo Di Lorenzo, Simone Scardapane
2024	J	`jnl`	Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. CoRR Alessio Devoto, Simone Petruzzi, Jary Pomponi, Paolo Di Lorenzo, Simone Scardapane
2024	—	`conf`	Dynamic Relative Representations for Goal-Oriented Semantic Communications. EUSIPCO Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
2024	J	`jnl`	Dynamic Relative Representations for Goal-Oriented Semantic Communications. CoRR Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo
2024	A*	`conf`	From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. ICLR Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
2024	J	`jnl`	Generalized Simplicial Attention Neural Networks. IEEE Trans. Signal Inf. Process. over Networks Claudio Battiloro, Lucia Testa, Lorenzo Giusti, Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa
2024	—	`conf`	Goal-Oriented Communications Based on Recursive Early Exit Neural Networks. IEEECONF Jary Pomponi, Mattia Merluzzi, Alessio Devoto, Mateus Pontes Mota, Paolo Di Lorenzo, Simone Scardapane
2024	—	`conf`	Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. EuCNC/6G Summit Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore, Adnan Aijaz, Marios Kountouris, Deniz Gündüz, Petar Popovski, Mohamed Sana, Photios A. Stavrou, Beatriz Soret, Nicola Cordeschi, Simone Scardapane, Mattia Merluzzi, Lanfranco Zanzi, Mauro Renato Boldi, Tony Q. S. Quek, Nicola di Pietro, Olivier Forceville, Francesca Costanzo, Peizheng Li
2024	J	`jnl`	Goal-oriented Communications based on Recursive Early Exit Neural Networks. CoRR Jary Pomponi, Mattia Merluzzi, Alessio Devoto, Mateus Pontes Mota, Paolo Di Lorenzo, Simone Scardapane
2024	J	`jnl`	Learning Multi-Frequency Partial Correlation Graphs. IEEE Trans. Signal Process. Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi, Stefania Sardellitti, Sergio Barbarossa
2024	—	`conf`	Learning Sheaf Laplacian Optimizing Restriction Maps. IEEECONF Leonardo Di Nino, Sergio Barbarossa, Paolo Di Lorenzo
2024	J	`jnl`	Multi-RIS-Empowered Multiple Access: A Distributed Sum-Rate Maximization Approach. CoRR Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos
2024	J	`jnl`	Multi-RIS-Empowered Multiple Access: A Distributed Sum-Rate Maximization Approach. IEEE J. Sel. Top. Signal Process. Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos
2024	J	`jnl`	Opportunistic Information-Bottleneck for Goal-Oriented Feature Extraction and Communication. IEEE Open J. Commun. Soc. Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
2024	J	`jnl`	Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024	A*	`conf`	Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024	J	`jnl`	RIS-Aided Wireless Fingerprinting Localization Based on Multilayer Graph Representations. IEEE Commun. Lett. Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa
2024	J	`jnl`	Reducing the In band Network Telemetry overhead through the spatial sampling: Theory and experimental results. Comput. Networks Marco Polverini, Stefania Sardellitti, Sergio Barbarossa, Antonio Cianfrani, Paolo Di Lorenzo, Marco Listanti
2024	—	`conf`	Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization. GLOBECOM (Workshops) Tomás Hüttebräucker, Simone Fiorellino, Mohamed Sana, Paolo Di Lorenzo, Emilio Calvanese Strinati
2024	J	`jnl`	Relative Representations of Latent Spaces enable Efficient Semantic Channel Equalization. CoRR Tomás Hüttebräucker, Simone Fiorellino, Mohamed Sana, Paolo Di Lorenzo, Emilio Calvanese Strinati
2024	—	`conf`	Semantic Communication Enhanced by Knowledge Graph Representation Learning. SPAWC Nour Hello, Paolo Di Lorenzo, Emilio Calvanese Strinati
2024	J	`jnl`	Semantic Communication Enhanced by Knowledge Graph Representation Learning. CoRR Nour Hello, Paolo Di Lorenzo, Emilio Calvanese Strinati
2024	J	`jnl`	Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back. IEEE Trans. Signal Process. Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2024	—	`conf`	The Interference Broadcast Channel with Reconfigurable Intelligent Surfaces: A Cooperative Sum-Rate Maximization Approach. SPAWC Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos
2024	J	`jnl`	The Interference Broadcast Channel with Reconfigurable Intelligent Surfaces: A Cooperative Sum-Rate Maximization Approach. CoRR Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos
2024	—	`conf`	Topological Adaptive Learning over Cell Complexes. EUSIPCO Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo
2024	Misc	`conf`	Topological Neural Networks over the Air. ICASSP Simone Fiorellino, Claudio Battiloro, Paolo Di Lorenzo
2023	—	`conf`	Analog versus Digital Pulse Amplitude Modulation for Goal-Oriented Wireless Communications. EUSIPCO Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
2023	B	`conf`	Cell Attention Networks. IJCNN Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa
2023	Misc	`conf`	Control Aspects for Using RIS in Latency-Constrained Mobile Edge Computing. ACSSC Fabio Saggese, Victor Croisfelt, Francesca Costanzo, Junya Shiraishi, Radoslaw Kotaba, Paolo Di Lorenzo, Petar Popovski
2023	—	`conf`	Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting. ISWCS Francesco Binucci, Mattia Merluzzi, Paolo Banelli, Emilio Calvanese Strinati, Paolo Di Lorenzo
2023	J	`jnl`	From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. CoRR Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo
2023	J	`jnl`	Generalized Simplicial Attention Neural Networks. CoRR Claudio Battiloro, Lucia Testa, Lorenzo Giusti, Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa
2023	J	`jnl`	Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization. IEEE Internet Things Mag. Paolo Di Lorenzo, Mattia Merluzzi, Francesco Binucci, Claudio Battiloro, Paolo Banelli, Emilio Calvanese Strinati, Sergio Barbarossa
2023	B	`conf`	In Band Network Telemetry Overhead Reduction Based on Data Flows Sampling and Recovering. NetSoft Stefania Sardellitti, Marco Polverini, Sergio Barbarossa, Antonio Cianfrani, Paolo Di Lorenzo, Marco Listanti
2023	J	`jnl`	Learning Multi-Frequency Partial Correlation Graphs. CoRR Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi, Stefania Sardellitti, Sergio Barbarossa
2023	J	`jnl`	Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning. IEEE Trans. Green Commun. Netw. Claudio Battiloro, Paolo Di Lorenzo, Mattia Merluzzi, Sergio Barbarossa
2023	Misc	`conf`	Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces. ICASSP Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo, George C. Alexandropoulos
2023	J	`jnl`	Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces. CoRR Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo, George C. Alexandropoulos
2023	J	`jnl`	Multi-User Goal-Oriented Communications With Energy-Efficient Edge Resource Management. IEEE Trans. Green Commun. Netw. Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
2023	J	`jnl`	Multiscale Causal Structure Learning. Trans. Mach. Learn. Res. Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa
2023	—	`conf`	Parametric Dictionary Learning for Topological Signal Representation. EUSIPCO Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro
2023	Misc	`conf`	Pooling Strategies for Simplicial Convolutional Networks. ICASSP Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo
2023	J	`jnl`	Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications. CoRR Mattia Merluzzi, Francesca Costanzo, Konstantinos D. Katsanos, George C. Alexandropoulos, Paolo Di Lorenzo
2023	J	`jnl`	RIS-Enabled Smart Wireless Environments: Deployment Scenarios, Network Architecture, Bandwidth and Area of Influence. CoRR George C. Alexandropoulos, Dinh-Thuy Phan-Huy, Konstantinos D. Katsanos, Maurizio Crozzoli, Henk Wymeersch, Petar Popovski, Philippe Ratajczak, Yohann Bénédic, Marie-Hélène Hamon, Sebastien Herraiz Gonzalez, Placido Mursia, Marco Rossanese, Vincenzo Sciancalepore, Jean-Baptiste Gros, Sergio Terranova, Gabriele Gradoni, Paolo Di Lorenzo, Moustafa Rahal, Benoît Denis, Raffaele D'Errico, Antonio Clemente, Emilio Calvanese Strinati
2023	J	`jnl`	RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence. EURASIP J. Wirel. Commun. Netw. George C. Alexandropoulos, Dinh-Thuy Phan-Huy, Konstantinos D. Katsanos, Maurizio Crozzoli, Henk Wymeersch, Petar Popovski, Philippe Ratajczak, Yohann Bénédic, Marie-Hélène Hamon, Sebastien Herraiz Gonzalez, Placido Mursia, Marco Rossanese, Vincenzo Sciancalepore, Jean-Baptiste Gros, Sergio Terranova, Gabriele Gradoni, Paolo Di Lorenzo, Moustafa Rahal, Benoît Denis, Raffaele D'Errico, Antonio Clemente, Emilio Calvanese Strinati
2023	J	`jnl`	Semantic Communications Based on Adaptive Generative Models and Information Bottleneck. IEEE Commun. Mag. Sergio Barbarossa, Danilo Comminiello, Eleonora Grassucci, Francesco Pezone, Stefania Sardellitti, Paolo Di Lorenzo
2023	J	`jnl`	Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back. CoRR Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2023	Misc	`conf`	Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. ICASSP Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2023	Misc	`conf`	Topological Signal Processing Over Weighted Simplicial Complexes. ICASSP Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
2023	Misc	`conf`	Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes. ICASSP Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa
2022	J	`jnl`	Adaptive resource optimization for edge inference with goal-oriented communications. EURASIP J. Adv. Signal Process. Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
2022	J	`jnl`	Cell Attention Networks. CoRR Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa
2022	J	`jnl`	Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing. IEEE Trans. Green Commun. Netw. Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, Sergio Barbarossa
2022	—	`conf`	Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces. SPAWC Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos
2022	J	`jnl`	Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces. CoRR Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos
2022	—	`conf`	Dynamic Resource Allocation for Multi-User Goal-oriented Communications at the Wireless Edge. EUSIPCO Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
2022	Misc	`conf`	Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces. ICASSP Claudio Battiloro, Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
2022	J	`jnl`	Dynamic edge computing empowered by reconfigurable intelligent surfaces. EURASIP J. Wirel. Commun. Netw. Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati, Sergio Barbarossa
2022	—	`conf`	Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees. ICC Workshops Mattia Merluzzi, Claudio Battiloro, Paolo Di Lorenzo, Emilio Calvanese Strinati
2022	Misc	`conf`	Goal-Oriented Communication for Edge Learning Based On the Information Bottleneck. ICASSP Francesco Pezone, Sergio Barbarossa, Paolo Di Lorenzo
2022	Misc	`conf`	Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning. ICASSP Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa
2022	J	`jnl`	Multiscale Causal Structure Learning. CoRR Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa
2022	J	`jnl`	Pooling Strategies for Simplicial Convolutional Networks. CoRR Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo
2022	B	`conf`	Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications. GLOBECOM Mattia Merluzzi, Francesca Costanzo, Konstantinos D. Katsanos, George C. Alexandropoulos, Paolo Di Lorenzo
2022	—	`conf`	Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links. SPAWC Fatima Ezzahra Airod, Mattia Merluzzi, Paolo Di Lorenzo, Emilio Calvanese Strinati
2022	J	`jnl`	Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links. CoRR Fatima Ezzahra Airod, Mattia Merluzzi, Paolo Di Lorenzo, Emilio Calvanese Strinati
2022	J	`jnl`	Simplicial Attention Neural Networks. CoRR Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa
2022	J	`jnl`	Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back. CoRR Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro
2021	J	`jnl`	Distributed Training of Graph Convolutional Networks. IEEE Trans. Signal Inf. Process. over Networks Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
2021	B	`conf`	Dynamic Ensemble Inference at the Edge. GLOBECOM Mattia Merluzzi, Alessio Martino, Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa
2021	—	`conf`	Dynamic Mobile Edge Computing empowered by Reconfigurable Intelligent Surfaces. SPAWC Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati
2021	Misc	`conf`	Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge. ICASSP Paolo Di Lorenzo, Claudio Battiloro, Mattia Merluzzi, Sergio Barbarossa
2021	J	`jnl`	Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks. IEEE Internet Things J. Claudio Battiloro, Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa
2021	Misc	`conf`	Online Learning of Time-Varying Signals and Graphs. ICASSP Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
2021	J	`jnl`	Wireless Edge Machine Learning: Resource Allocation and Trade-Offs. IEEE Access Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
2021	—	`conf`	Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective. EuCNC/6G Summit Emilio Calvanese Strinati, George C. Alexandropoulos, Vincenzo Sciancalepore, Marco Di Renzo, Henk Wymeersch, Dinh-Thuy Phan-Huy, Maurizio Crozzoli, Raffaele D'Errico, Elisabeth de Carvalho, Petar Popovski, Paolo Di Lorenzo, Luca Bastianelli, Mathieu Belouar, Julien-Etienne Mascolo, Gabriele Gradoni, Sendy Phang, Geoffroy Lerosey, Benoît Denis
2021	J	`jnl`	Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective. CoRR Emilio Calvanese Strinati, George C. Alexandropoulos, Vincenzo Sciancalepore, Marco Di Renzo, Henk Wymeersch, Dinh Thuy Phan Huy, Maurizio Crozzoli, Raffaele D'Errico, Elisabeth de Carvalho, Petar Popovski, Paolo Di Lorenzo, Luca Bastianelli, Mathieu Belouar, Julien-Etienne Mascolo, Gabriele Gradoni, Sendy Phang, Geoffroy Lerosey, Benoît Denis
2020	J	`jnl`	A Joint Markov Model for Communities, Connectivity and Signals Defined Over Graphs. IEEE Signal Process. Lett. Stefania Colonnese, Paolo Di Lorenzo, Tiziana Cattai, Gaetano Scarano, Fabrizio de Vico Fallani
2020	J	`jnl`	Distributed Graph Convolutional Networks. CoRR Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
2020	J	`jnl`	Distributed Signal Processing and Optimization Based on In-Network Subspace Projections. IEEE Trans. Signal Process. Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti
2020	J	`jnl`	Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. CoRR Paolo Di Lorenzo, Simone Scardapane
2020	Misc	`conf`	Distributed Tensor Completion Over Networks. ICASSP Claudio Battiloro, Paolo Di Lorenzo
2020	J	`jnl`	Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications. IEEE Trans. Signal Inf. Process. over Networks Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Valerio Frascolla
2020	Misc	`conf`	Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency And Accuracy Guarantees. ICASSP Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
2020	Misc	`conf`	Dynamic Resource Optimization and Altitude Selection in Uav-Based Multi-Access Edge Computing. ICASSP Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa
2020	J	`jnl`	Observing and tracking bandlimited graph processes from sampled measurements. Signal Process. Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus
2019	Misc	`conf`	Distributed Adaptive Learning of Graph Processes via In-Network Subspace Projections. ACSSC Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti
2019	Misc	`conf`	Distributed Signal Recovery Based on In-network Subspace Projections. ICASSP Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti
2019	Misc	`conf`	Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. ACSSC Paolo Di Lorenzo, Simone Scardapane
2019	J	`jnl`	Distributed data clustering over networks. Pattern Recognit. Rosa Altilio, Paolo Di Lorenzo, Massimo Panella
2019	Misc	`conf`	Dynamic Joint Resource Allocation and User Assignment in Multi-access Edge Computing. ICASSP Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
2019	Misc	`conf`	Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks. ICASSP Paolo Di Lorenzo, Claudio Battiloro, Paolo Banelli, Sergio Barbarossa
2019	J	`jnl`	Graph Topology Inference Based on Sparsifying Transform Learning. IEEE Trans. Signal Process. Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
2019	—	`ed.`	Joint Proceeding of the Poster and Workshop Sessions of AmI-2019, the 2019 European Conference on Ambient Intelligence, Rome, Italy, November 13-15, 2019. AmI (Workshops/Posters) Emilio Calvanese Strinati, Dimitris Charitos, Ioannis Chatzigiannakis, Paolo Ciampolini, Francesca Cuomo, Paolo Di Lorenzo, Damianos Gavalas, Sten Hanke, Andreas Komninos, Georgios Mylonas
2019	—	`conf`	Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC. WCNC Workshops Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Valerio Frascolla
2019	—	`conf`	Latency-Constrained Dynamic Computation Offloading with Energy Harvesting IoT Devices. INFOCOM Workshops Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
2019	B	`conf`	Network Energy Efficient Mobile Edge Computing with Reliability Guarantees. GLOBECOM Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, Sergio Barbarossa
2018	J	`jnl`	Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. IEEE Trans. Signal Process. Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi, Sergio Barbarossa, Geert Leus
2018	—	`conf`	Distributed Wiener-Based Reconstruction of Graph Signals. SSP Elvin Isufi, Paolo Di Lorenzo, Paolo Banelli, Geert Leus
2018	Misc	`conf`	Observing Bandlimited Graph Processes from Subsampled Measurements. ACSSC Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus
2018	—	`conf`	Online Recovery of Time- varying Signals Defined over Dynamic Graphs. EUSIPCO Paolo Di Lorenzo, Elena Ceci
2018	Misc	`conf`	Optimal Power and Bit Allocation for Graph Signal Interpolation. ICASSP Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli
2018	J	`jnl`	Stochastic Training of Neural Networks via Successive Convex Approximations. IEEE Trans. Neural Networks Learn. Syst. Simone Scardapane, Paolo Di Lorenzo
2017	J	`jnl`	A framework for parallel and distributed training of neural networks. Neural Networks Simone Scardapane, Paolo Di Lorenzo
2017	J	`jnl`	Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. CoRR Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi, Sergio Barbarossa, Geert Leus
2017	J	`jnl`	Distributed Adaptive Learning of Graph Signals. IEEE Trans. Signal Process. Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa, Stefania Sardellitti
2017	—	`conf`	Distributed recursive least squares strategies for adaptive reconstruction of graph signals. EUSIPCO Paolo Di Lorenzo, Elvin Isufi, Paolo Banelli, Sergio Barbarossa, Geert Leus
2017	Misc	`conf`	Graph Fourier Transform for directed graphs based on Lovász extension of min-cut. ICASSP Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
2017	J	`jnl`	On the Graph Fourier Transform for Directed Graphs. IEEE J. Sel. Top. Signal Process. Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
2017	—	`conf`	Optimal sampling strategies for adaptive learning of graph signals. EUSIPCO Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa
2017	J	`jnl`	Stochastic Training of Neural Networks via Successive Convex Approximations. CoRR Simone Scardapane, Paolo Di Lorenzo
2016	J	`jnl`	A Framework for Parallel and Distributed Training of Neural Networks. CoRR Simone Scardapane, Paolo Di Lorenzo
2016	J	`jnl`	Adaptive Least Mean Squares Estimation of Graph Signals. IEEE Trans. Signal Inf. Process. over Networks Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti
2016	J	`jnl`	Distributed Adaptive Learning of Graph Signals. CoRR Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa, Stefania Sardellitti
2016	Misc	`conf`	Distributed adaptive learning of signals defined over graphs. ACSSC Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa, Stefania Sardellitti
2016	Misc	`conf`	Distributed nonconvex optimization over time-varying networks. ICASSP Paolo Di Lorenzo, Gesualdo Scutari
2016	J	`jnl`	Distributed semi-supervised support vector machines. Neural Networks Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini
2016	—	`conf`	Graph topology inference based on transform learning. GlobalSIP Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
2016	—	`conf`	LMS estimation of signals defined over graphs. EUSIPCO Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti
2016	J	`jnl`	Least Mean Squares Estimation of Graph Signals. CoRR Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti
2016	J	`jnl`	NEXT: In-Network Nonconvex Optimization. CoRR Paolo Di Lorenzo, Gesualdo Scutari
2016	J	`jnl`	NEXT: In-Network Nonconvex Optimization. IEEE Trans. Signal Inf. Process. over Networks Paolo Di Lorenzo, Gesualdo Scutari
2016	—	`conf`	Parallel and distributed training of neural networks via successive convex approximation. MLSP Paolo Di Lorenzo, Simone Scardapane
2016	J	`jnl`	Signals on Graphs: Uncertainty Principle and Sampling. IEEE Trans. Signal Process. Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo
2015	—	`conf`	Distributed nonconvex optimization over networks. CAMSAP Paolo Di Lorenzo, Gesualdo Scutari
2015	Misc	`conf`	Network formation games based on conditional independence graphs. ICASSP Sergio Barbarossa, Paolo Di Lorenzo, Mihaela van der Schaar
2015	J	`jnl`	Signals on Graphs: Uncertainty Principle and Sampling. CoRR Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo
2015	J	`jnl`	Uncertainty Principle and Sampling of Signals Defined on Graphs. CoRR Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo
2015	Misc	`conf`	Uncertainty principle and sampling of signals defined on graphs. ACSSC Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo
2014	J	`jnl`	Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks. IEEE Signal Process. Mag. Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo
2014	—	`conf`	Computation offloading strategies based on energy minimization under computational rate constraints. EuCNC Sergio Barbarossa, Paolo Di Lorenzo, Stefania Sardellitti
2014	J	`jnl`	Diffusion Adaptation Strategies for Distributed Estimation Over Gaussian Markov Random Fields. IEEE Trans. Signal Process. Paolo Di Lorenzo
2014	J	`jnl`	Diffusion Adaptation Strategies for Distributed Estimation over Gaussian Markov Random Fields. CoRR Paolo Di Lorenzo
2014	J	`jnl`	Distributed Estimation and Control of Algebraic Connectivity Over Random Graphs. IEEE Trans. Signal Process. Paolo Di Lorenzo, Sergio Barbarossa
2014	Misc	`conf`	Distributed least mean squares strategies for sparsity-aware estimation over Gaussian Markov random fields. ICASSP Paolo Di Lorenzo, Sergio Barbarossa
2014	J	`jnl`	Parameter Estimation of 2D Multi-Component Polynomial Phase Signals: An Application to SAR Imaging of Moving Targets. IEEE Trans. Signal Process. Sergio Barbarossa, Paolo Di Lorenzo, Pasquale Vecchiarelli
2013	J	`jnl`	Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks. IEEE Trans. Signal Process. Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed
2013	—	`conf`	Computation offloading for mobile cloud computing based on wide cross-layer optimization. Future Network & Mobile Summit Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo
2013	Misc	`conf`	Decentralized estimation and control of algebraic connectivity of random ad-hoc networks. ICASSP Paolo Di Lorenzo, Sergio Barbarossa
2013	J	`jnl`	Distributed Detection and Estimation in Wireless Sensor Networks. CoRR Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo
2013	J	`jnl`	Distributed Estimation and Control of Algebraic Connectivity over Random Graphs. CoRR Paolo Di Lorenzo, Sergio Barbarossa
2013	J	`jnl`	Distributed Spectrum Estimation for Small Cell Networks Based on Sparse Diffusion Adaptation. IEEE Signal Process. Lett. Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed
2013	J	`jnl`	Distributed Sum-Rate Maximization Over Finite Rate Coordination Links Affected by Random Failures. IEEE Trans. Signal Process. Paolo Di Lorenzo, Sergio Barbarossa, Marco Omilipo
2013	—	`conf`	Distributed control of wireless ad-hoc networks connectivity incorporating realistic channel models. EUSIPCO Paolo Di Lorenzo, Sergio Barbarossa
2013	J	`jnl`	Joint Optimization of Radio Resources and Code Partitioning in Mobile Cloud Computing. CoRR Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti
2013	—	`conf`	Joint allocation of computation and communication resources in multiuser mobile cloud computing. SPAWC Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo
2013	J	`jnl`	Optimal Beamforming for Range-Doppler Ambiguity Minimization in Squinted SAR. IEEE Trans. Aerosp. Electron. Syst. Paolo Di Lorenzo, Sergio Barbarossa, Leonardo Borgarelli
2013	Misc	`conf`	Parameter estimation of 2D Polynomial Phase Signals: An application to moving target imaging with SAR. ICASSP Sergio Barbarossa, Paolo Di Lorenzo, Pasquale Vecchiarelli, Alessandro Silvi, Alessandro Bruner
2013	J	`jnl`	Sparse Distributed Learning Based on Diffusion Adaptation. IEEE Trans. Signal Process. Paolo Di Lorenzo, Ali H. Sayed
2013	J	`jnl`	Swarming Algorithms for Distributed Radio Resource Allocation: A Further Step in the Direction of an Ever-Deeper Synergism Between Biological Mathematical Modeling and Signal Processing. IEEE Signal Process. Mag. Paolo Di Lorenzo, Sergio Barbarossa
2012	J	`jnl`	Decentralized Resource Assignment in Cognitive Networks Based on Swarming Mechanisms Over Random Graphs. IEEE Trans. Signal Process. Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed
2012	J	`jnl`	Sparse Distributed Learning Based on Diffusion Adaptation CoRR Paolo Di Lorenzo, Ali H. Sayed
2012	Misc	`conf`	Sparse diffusion LMS for distributed adaptive estimation. ICASSP Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed
2011	J	`jnl`	A Bio-Inspired Swarming Algorithm for Decentralized Access in Cognitive Radio. IEEE Trans. Signal Process. Paolo Di Lorenzo, Sergio Barbarossa
2011	—	`conf`	A bio-inspired fast swarming algorithm for dynamic radio access. DSP Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed
2011	—	`conf`	Bio-inspired swarming for dynamic radio access based on diffusion adaptation. EUSIPCO Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed
2011	Misc	`conf`	Bio-inspired swarming models for decentralized radio access incorporating random links and quantized communications. ICASSP Paolo Di Lorenzo, Sergio Barbarossa
2011	—	`conf`	Distributed stochastic pricing for sum-rate maximization in femtocell networks with random graph and quantized communications. CAMSAP Paolo Di Lorenzo, Marco Omilipo, Sergio Barbarossa
2011	—	`conf`	Optimal beamforming for range-doppler ambiguity suppression in squinted SAR systems. CAMSAP Paolo Di Lorenzo, Sergio Barbarossa