Paolo Di Lorenzo

According to our database, Paolo Di Lorenzo authored at least 125 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RIS-Aided Wireless Fingerprinting Localization Based on Multilayer Graph Representations.

Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa

IEEE Commun. Lett., May, 2024

Learning Multi-Frequency Partial Correlation Graphs.

Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi, Stefania Sardellitti, Sergio Barbarossa

IEEE Trans. Signal Process., 2024

Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back.

Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro

IEEE Trans. Signal Process., 2024

Opportunistic Information-Bottleneck for Goal-Oriented Feature Extraction and Communication.

Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa

IEEE Open J. Commun. Soc., 2024

Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning.

Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane

CoRR, 2024

Multi-RIS-Empowered Multiple Access: A Distributed Sum-Rate Maximization Approach.

Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos

CoRR, 2024

Adaptive Semantic Token Selection for AI-native Goal-oriented Communications.

Alessio Devoto, Simone Petruzzi, Jary Pomponi, Paolo Di Lorenzo, Simone Scardapane

CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.

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

CoRR, 2024

Reducing the In band Network Telemetry overhead through the spatial sampling: Theory and experimental results.

Marco Polverini, Stefania Sardellitti, Sergio Barbarossa, Antonio Cianfrani, Paolo Di Lorenzo, Marco Listanti

Comput. Networks, 2024

The Interference Broadcast Channel with Reconfigurable Intelligent Surfaces: A Cooperative Sum-Rate Maximization Approach.

Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Semantic Communication Enhanced by Knowledge Graph Representation Learning.

Nour Hello, Paolo Di Lorenzo, Emilio Calvanese Strinati

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Position: Topological Deep Learning is the New Frontier for Relational Learning.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module.

Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Topological Neural Networks over the Air.

Simone Fiorellino, Claudio Battiloro, Paolo Di Lorenzo

Proceedings of the IEEE International Conference on Acoustics, 2024

Topological Adaptive Learning over Cell Complexes.

Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo

Proceedings of the 32nd European Signal Processing Conference, 2024

Dynamic Relative Representations for Goal-Oriented Semantic Communications.

Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo

Proceedings of the 32nd European Signal Processing Conference, 2024

Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach.

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

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

2023

Multi-User Goal-Oriented Communications With Energy-Efficient Edge Resource Management.

Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa

IEEE Trans. Green Commun. Netw., December, 2023

Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization.

Paolo Di Lorenzo, Mattia Merluzzi, Francesco Binucci, Claudio Battiloro, Paolo Banelli, Emilio Calvanese Strinati, Sergio Barbarossa

IEEE Internet Things Mag., December, 2023

RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence.

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

EURASIP J. Wirel. Commun. Netw., December, 2023

Semantic Communications Based on Adaptive Generative Models and Information Bottleneck.

Sergio Barbarossa, Danilo Comminiello, Eleonora Grassucci, Francesco Pezone, Stefania Sardellitti, Paolo Di Lorenzo

IEEE Commun. Mag., November, 2023

Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning.

Claudio Battiloro, Paolo Di Lorenzo, Mattia Merluzzi, Sergio Barbarossa

IEEE Trans. Green Commun. Netw., March, 2023

Multiscale Causal Structure Learning.

Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa

Trans. Mach. Learn. Res., 2023

Generalized Simplicial Attention Neural Networks.

Claudio Battiloro, Lucia Testa, Lorenzo Giusti, Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa

CoRR, 2023

In Band Network Telemetry Overhead Reduction Based on Data Flows Sampling and Recovering.

Stefania Sardellitti, Marco Polverini, Sergio Barbarossa, Antonio Cianfrani, Paolo Di Lorenzo, Marco Listanti

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting.

Francesco Binucci, Mattia Merluzzi, Paolo Banelli, Emilio Calvanese Strinati, Paolo Di Lorenzo

Proceedings of the 19th International Symposium on Wireless Communication Systems, 2023

Cell Attention Networks.

Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa

Proceedings of the International Joint Conference on Neural Networks, 2023

Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces.

Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo, George C. Alexandropoulos

Proceedings of the IEEE International Conference on Acoustics, 2023

Pooling Strategies for Simplicial Convolutional Networks.

Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo

Proceedings of the IEEE International Conference on Acoustics, 2023

Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back.

Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro

Proceedings of the IEEE International Conference on Acoustics, 2023

Topological Signal Processing Over Weighted Simplicial Complexes.

Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo

Proceedings of the IEEE International Conference on Acoustics, 2023

Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes.

Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2023

Analog versus Digital Pulse Amplitude Modulation for Goal-Oriented Wireless Communications.

Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the 31st European Signal Processing Conference, 2023

Parametric Dictionary Learning for Topological Signal Representation.

Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro

Proceedings of the 31st European Signal Processing Conference, 2023

Control Aspects for Using RIS in Latency-Constrained Mobile Edge Computing.

Fabio Saggese, Victor Croisfelt, Francesca Costanzo, Junya Shiraishi, Radoslaw Kotaba, Paolo Di Lorenzo, Petar Popovski

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing.

Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, Sergio Barbarossa

IEEE Trans. Green Commun. Netw., 2022

Dynamic edge computing empowered by reconfigurable intelligent surfaces.

Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati, Sergio Barbarossa

EURASIP J. Wirel. Commun. Netw., 2022

Adaptive resource optimization for edge inference with goal-oriented communications.

Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa

EURASIP J. Adv. Signal Process., 2022

Simplicial Attention Neural Networks.

Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa

CoRR, 2022

Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces.

Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos

Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links.

Fatima Ezzahra Airod, Mattia Merluzzi, Paolo Di Lorenzo, Emilio Calvanese Strinati

Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees.

Mattia Merluzzi, Claudio Battiloro, Paolo Di Lorenzo, Emilio Calvanese Strinati

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Goal-Oriented Communication for Edge Learning Based On the Information Bottleneck.

Francesco Pezone, Sergio Barbarossa, Paolo Di Lorenzo

Proceedings of the IEEE International Conference on Acoustics, 2022

Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning.

Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2022

Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces.

Claudio Battiloro, Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2022

Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications.

Mattia Merluzzi, Francesca Costanzo, Konstantinos D. Katsanos, George C. Alexandropoulos, Paolo Di Lorenzo

Proceedings of the IEEE Global Communications Conference, 2022

Dynamic Resource Allocation for Multi-User Goal-oriented Communications at the Wireless Edge.

Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Distributed Training of Graph Convolutional Networks.

Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo

IEEE Trans. Signal Inf. Process. over Networks, 2021

Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks.

Claudio Battiloro, Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa

IEEE Internet Things J., 2021

Wireless Edge Machine Learning: Resource Allocation and Trade-Offs.

Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa

IEEE Access, 2021

Dynamic Mobile Edge Computing empowered by Reconfigurable Intelligent Surfaces.

Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Online Learning of Time-Varying Signals and Graphs.

Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo

Proceedings of the IEEE International Conference on Acoustics, 2021

Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge.

Paolo Di Lorenzo, Claudio Battiloro, Mattia Merluzzi, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2021

Dynamic Ensemble Inference at the Edge.

Mattia Merluzzi, Alessio Martino, Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE Global Communications Conference, 2021

Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective.

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

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021

2020

Distributed Signal Processing and Optimization Based on In-Network Subspace Projections.

Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti

IEEE Trans. Signal Process., 2020

Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications.

Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Valerio Frascolla

IEEE Trans. Signal Inf. Process. over Networks, 2020

A Joint Markov Model for Communities, Connectivity and Signals Defined Over Graphs.

Stefania Colonnese, Paolo Di Lorenzo, Tiziana Cattai, Gaetano Scarano, Fabrizio de Vico Fallani

IEEE Signal Process. Lett., 2020

Observing and tracking bandlimited graph processes from sampled measurements.

Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus

Signal Process., 2020

Distributed Graph Convolutional Networks.

Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo

CoRR, 2020

Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency And Accuracy Guarantees.

Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Dynamic Resource Optimization and Altitude Selection in Uav-Based Multi-Access Edge Computing.

Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Distributed Tensor Completion Over Networks.

Claudio Battiloro, Paolo Di Lorenzo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Graph Topology Inference Based on Sparsifying Transform Learning.

Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo

IEEE Trans. Signal Process., 2019

Distributed data clustering over networks.

Rosa Altilio, Paolo Di Lorenzo, Massimo Panella

Pattern Recognit., 2019

Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC.

Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Valerio Frascolla

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

Latency-Constrained Dynamic Computation Offloading with Energy Harvesting IoT Devices.

Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE INFOCOM 2019, 2019

Dynamic Joint Resource Allocation and User Assignment in Multi-access Edge Computing.

Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2019

Distributed Signal Recovery Based on In-network Subspace Projections.

Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti

Proceedings of the IEEE International Conference on Acoustics, 2019

Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks.

Paolo Di Lorenzo, Claudio Battiloro, Paolo Banelli, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2019

Network Energy Efficient Mobile Edge Computing with Reliability Guarantees.

Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, Sergio Barbarossa

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation.

Paolo Di Lorenzo, Simone Scardapane

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Distributed Adaptive Learning of Graph Processes via In-Network Subspace Projections.

Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies.

Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi, Sergio Barbarossa, Geert Leus

IEEE Trans. Signal Process., 2018

Stochastic Training of Neural Networks via Successive Convex Approximations.

Simone Scardapane, Paolo Di Lorenzo

IEEE Trans. Neural Networks Learn. Syst., 2018

Distributed Wiener-Based Reconstruction of Graph Signals.

Elvin Isufi, Paolo Di Lorenzo, Paolo Banelli, Geert Leus

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Optimal Power and Bit Allocation for Graph Signal Interpolation.

Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Online Recovery of Time- varying Signals Defined over Dynamic Graphs.

Paolo Di Lorenzo, Elena Ceci

Proceedings of the 26th European Signal Processing Conference, 2018

Observing Bandlimited Graph Processes from Subsampled Measurements.

Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Distributed Adaptive Learning of Graph Signals.

Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa, Stefania Sardellitti

IEEE Trans. Signal Process., 2017

A framework for parallel and distributed training of neural networks.

Simone Scardapane, Paolo Di Lorenzo

Neural Networks, 2017

On the Graph Fourier Transform for Directed Graphs.

Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo

IEEE J. Sel. Top. Signal Process., 2017

Graph Fourier Transform for directed graphs based on Lovász extension of min-cut.

Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Distributed recursive least squares strategies for adaptive reconstruction of graph signals.

Paolo Di Lorenzo, Elvin Isufi, Paolo Banelli, Sergio Barbarossa, Geert Leus

Proceedings of the 25th European Signal Processing Conference, 2017

Optimal sampling strategies for adaptive learning of graph signals.

Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Signals on Graphs: Uncertainty Principle and Sampling.

Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo

IEEE Trans. Signal Process., 2016

NEXT: In-Network Nonconvex Optimization.

Paolo Di Lorenzo, Gesualdo Scutari

IEEE Trans. Signal Inf. Process. over Networks, 2016

Adaptive Least Mean Squares Estimation of Graph Signals.

Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti

IEEE Trans. Signal Inf. Process. over Networks, 2016

Distributed semi-supervised support vector machines.

Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini

Neural Networks, 2016

Least Mean Squares Estimation of Graph Signals.

Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti

CoRR, 2016

Parallel and distributed training of neural networks via successive convex approximation.

Paolo Di Lorenzo, Simone Scardapane

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Distributed nonconvex optimization over time-varying networks.

Paolo Di Lorenzo, Gesualdo Scutari

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Graph topology inference based on transform learning.

Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

LMS estimation of signals defined over graphs.

Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti

Proceedings of the 24th European Signal Processing Conference, 2016

Distributed adaptive learning of signals defined over graphs.

Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa, Stefania Sardellitti

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Network formation games based on conditional independence graphs.

Sergio Barbarossa, Paolo Di Lorenzo, Mihaela van der Schaar

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Distributed nonconvex optimization over networks.

Paolo Di Lorenzo, Gesualdo Scutari

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Uncertainty principle and sampling of signals defined on graphs.

Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Distributed Estimation and Control of Algebraic Connectivity Over Random Graphs.

Paolo Di Lorenzo, Sergio Barbarossa

IEEE Trans. Signal Process., 2014

Diffusion Adaptation Strategies for Distributed Estimation Over Gaussian Markov Random Fields.

Paolo Di Lorenzo

IEEE Trans. Signal Process., 2014

Parameter Estimation of 2D Multi-Component Polynomial Phase Signals: An Application to SAR Imaging of Moving Targets.

Sergio Barbarossa, Paolo Di Lorenzo, Pasquale Vecchiarelli

IEEE Trans. Signal Process., 2014

Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks.

Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo

IEEE Signal Process. Mag., 2014

Distributed least mean squares strategies for sparsity-aware estimation over Gaussian Markov random fields.

Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2014

Computation offloading strategies based on energy minimization under computational rate constraints.

Sergio Barbarossa, Paolo Di Lorenzo, Stefania Sardellitti

Proceedings of the European Conference on Networks and Communications, 2014

2013

Sparse Distributed Learning Based on Diffusion Adaptation.

Paolo Di Lorenzo, Ali H. Sayed

IEEE Trans. Signal Process., 2013

Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks.

Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed

IEEE Trans. Signal Process., 2013

Distributed Sum-Rate Maximization Over Finite Rate Coordination Links Affected by Random Failures.

Paolo Di Lorenzo, Sergio Barbarossa, Marco Omilipo

IEEE Trans. Signal Process., 2013

Optimal Beamforming for Range-Doppler Ambiguity Minimization in Squinted SAR.

Paolo Di Lorenzo, Sergio Barbarossa, Leonardo Borgarelli

IEEE Trans. Aerosp. Electron. Syst., 2013

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.

Paolo Di Lorenzo, Sergio Barbarossa

IEEE Signal Process. Mag., 2013

Distributed Spectrum Estimation for Small Cell Networks Based on Sparse Diffusion Adaptation.

Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed

IEEE Signal Process. Lett., 2013

Joint Optimization of Radio Resources and Code Partitioning in Mobile Cloud Computing.

Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti

CoRR, 2013

Distributed Detection and Estimation in Wireless Sensor Networks.

Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo

CoRR, 2013

Joint allocation of computation and communication resources in multiuser mobile cloud computing.

Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo

Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Decentralized estimation and control of algebraic connectivity of random ad-hoc networks.

Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2013

Parameter estimation of 2D Polynomial Phase Signals: An application to moving target imaging with SAR.

Sergio Barbarossa, Paolo Di Lorenzo, Pasquale Vecchiarelli, Alessandro Silvi, Alessandro Bruner

Proceedings of the IEEE International Conference on Acoustics, 2013

Computation offloading for mobile cloud computing based on wide cross-layer optimization.

Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo

Proceedings of the 2013 Future Network & Mobile Summit, Lisboa, Portugal, July 3-5, 2013, 2013

Distributed control of wireless ad-hoc networks connectivity incorporating realistic channel models.

Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Decentralized Resource Assignment in Cognitive Networks Based on Swarming Mechanisms Over Random Graphs.

Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed

IEEE Trans. Signal Process., 2012

Sparse diffusion LMS for distributed adaptive estimation.

Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

A Bio-Inspired Swarming Algorithm for Decentralized Access in Cognitive Radio.

Paolo Di Lorenzo, Sergio Barbarossa

IEEE Trans. Signal Process., 2011

A bio-inspired fast swarming algorithm for dynamic radio access.

Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Bio-inspired swarming models for decentralized radio access incorporating random links and quantized communications.

Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the IEEE International Conference on Acoustics, 2011

Bio-inspired swarming for dynamic radio access based on diffusion adaptation.

Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed

Proceedings of the 19th European Signal Processing Conference, 2011

Distributed stochastic pricing for sum-rate maximization in femtocell networks with random graph and quantized communications.

Paolo Di Lorenzo, Marco Omilipo, Sergio Barbarossa

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Optimal beamforming for range-doppler ambiguity suppression in squinted SAR systems.

Paolo Di Lorenzo, Sergio Barbarossa

Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011