Paolo Di Lorenzo

Orcid: 0000-0002-4130-3177

According to our database1, Paolo Di Lorenzo authored at least 113 papers between 2011 and 2024.

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Bibliography

2024
Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back.
IEEE Trans. Signal Process., 2024

Opportunistic Information-Bottleneck for Goal-Oriented Feature Extraction and Communication.
IEEE Open J. Commun. Soc., 2024

Dynamic Relative Representations for Goal-Oriented Semantic Communications.
CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.
CoRR, 2024

2023
Multi-User Goal-Oriented Communications With Energy-Efficient Edge Resource Management.
IEEE Trans. Green Commun. Netw., December, 2023

Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization.
IEEE Internet Things Mag., December, 2023

RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence.
EURASIP J. Wirel. Commun. Netw., December, 2023

Semantic Communications Based on Adaptive Generative Models and Information Bottleneck.
IEEE Commun. Mag., November, 2023

Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning.
IEEE Trans. Green Commun. Netw., March, 2023

Learning Multi-Frequency Partial Correlation Graphs.
CoRR, 2023

Generalized Simplicial Attention Neural Networks.
CoRR, 2023

From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module.
CoRR, 2023

In Band Network Telemetry Overhead Reduction Based on Data Flows Sampling and Recovering.
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Cell Attention Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces.
Proceedings of the IEEE International Conference on Acoustics, 2023

Pooling Strategies for Simplicial Convolutional Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back.
Proceedings of the IEEE International Conference on Acoustics, 2023

Topological Signal Processing Over Weighted Simplicial Complexes.
Proceedings of the IEEE International Conference on Acoustics, 2023

Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes.
Proceedings of the IEEE International Conference on Acoustics, 2023

Analog versus Digital Pulse Amplitude Modulation for Goal-Oriented Wireless Communications.
Proceedings of the 31st European Signal Processing Conference, 2023

Parametric Dictionary Learning for Topological Signal Representation.
Proceedings of the 31st European Signal Processing Conference, 2023

Control Aspects for Using RIS in Latency-Constrained Mobile Edge Computing.
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.
IEEE Trans. Green Commun. Netw., 2022

Dynamic edge computing empowered by reconfigurable intelligent surfaces.
EURASIP J. Wirel. Commun. Netw., 2022

Adaptive resource optimization for edge inference with goal-oriented communications.
EURASIP J. Adv. Signal Process., 2022

Multiscale Causal Structure Learning.
CoRR, 2022

Simplicial Attention Neural Networks.
CoRR, 2022

Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces.
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.
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.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Goal-Oriented Communication for Edge Learning Based On the Information Bottleneck.
Proceedings of the IEEE International Conference on Acoustics, 2022

Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces.
Proceedings of the IEEE International Conference on Acoustics, 2022

Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications.
Proceedings of the IEEE Global Communications Conference, 2022

Dynamic Resource Allocation for Multi-User Goal-oriented Communications at the Wireless Edge.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Distributed Training of Graph Convolutional Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks.
IEEE Internet Things J., 2021

Wireless Edge Machine Learning: Resource Allocation and Trade-Offs.
IEEE Access, 2021

Dynamic Mobile Edge Computing empowered by Reconfigurable Intelligent Surfaces.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Online Learning of Time-Varying Signals and Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dynamic Ensemble Inference at the Edge.
Proceedings of the IEEE Global Communications Conference, 2021

Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective.
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.
IEEE Trans. Signal Process., 2020

Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications.
IEEE Trans. Signal Inf. Process. over Networks, 2020

A Joint Markov Model for Communities, Connectivity and Signals Defined Over Graphs.
IEEE Signal Process. Lett., 2020

Observing and tracking bandlimited graph processes from sampled measurements.
Signal Process., 2020

Distributed Graph Convolutional Networks.
CoRR, 2020

Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency And Accuracy Guarantees.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Dynamic Resource Optimization and Altitude Selection in Uav-Based Multi-Access Edge Computing.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Distributed Tensor Completion Over Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Graph Topology Inference Based on Sparsifying Transform Learning.
IEEE Trans. Signal Process., 2019

Distributed data clustering over networks.
Pattern Recognit., 2019

Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

Latency-Constrained Dynamic Computation Offloading with Energy Harvesting IoT Devices.
Proceedings of the IEEE INFOCOM 2019, 2019

Dynamic Joint Resource Allocation and User Assignment in Multi-access Edge Computing.
Proceedings of the IEEE International Conference on Acoustics, 2019

Distributed Signal Recovery Based on In-network Subspace Projections.
Proceedings of the IEEE International Conference on Acoustics, 2019

Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Network Energy Efficient Mobile Edge Computing with Reliability Guarantees.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Distributed Adaptive Learning of Graph Processes via In-Network Subspace Projections.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies.
IEEE Trans. Signal Process., 2018

Stochastic Training of Neural Networks via Successive Convex Approximations.
IEEE Trans. Neural Networks Learn. Syst., 2018

Distributed Wiener-Based Reconstruction of Graph Signals.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Optimal Power and Bit Allocation for Graph Signal Interpolation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Online Recovery of Time- varying Signals Defined over Dynamic Graphs.
Proceedings of the 26th European Signal Processing Conference, 2018

Observing Bandlimited Graph Processes from Subsampled Measurements.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Distributed Adaptive Learning of Graph Signals.
IEEE Trans. Signal Process., 2017

A framework for parallel and distributed training of neural networks.
Neural Networks, 2017

On the Graph Fourier Transform for Directed Graphs.
IEEE J. Sel. Top. Signal Process., 2017

Graph Fourier Transform for directed graphs based on Lovász extension of min-cut.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Distributed recursive least squares strategies for adaptive reconstruction of graph signals.
Proceedings of the 25th European Signal Processing Conference, 2017

Optimal sampling strategies for adaptive learning of graph signals.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Signals on Graphs: Uncertainty Principle and Sampling.
IEEE Trans. Signal Process., 2016

NEXT: In-Network Nonconvex Optimization.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Adaptive Least Mean Squares Estimation of Graph Signals.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Distributed semi-supervised support vector machines.
Neural Networks, 2016

Least Mean Squares Estimation of Graph Signals.
CoRR, 2016

Parallel and distributed training of neural networks via successive convex approximation.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Distributed nonconvex optimization over time-varying networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Graph topology inference based on transform learning.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

LMS estimation of signals defined over graphs.
Proceedings of the 24th European Signal Processing Conference, 2016

Distributed adaptive learning of signals defined over graphs.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Network formation games based on conditional independence graphs.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Distributed nonconvex optimization over networks.
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.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Distributed Estimation and Control of Algebraic Connectivity Over Random Graphs.
IEEE Trans. Signal Process., 2014

Diffusion Adaptation Strategies for Distributed Estimation Over Gaussian Markov Random Fields.
IEEE Trans. Signal Process., 2014

Parameter Estimation of 2D Multi-Component Polynomial Phase Signals: An Application to SAR Imaging of Moving Targets.
IEEE Trans. Signal Process., 2014

Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks.
IEEE Signal Process. Mag., 2014

Distributed least mean squares strategies for sparsity-aware estimation over Gaussian Markov random fields.
Proceedings of the IEEE International Conference on Acoustics, 2014

Computation offloading strategies based on energy minimization under computational rate constraints.
Proceedings of the European Conference on Networks and Communications, 2014

2013
Sparse Distributed Learning Based on Diffusion Adaptation.
IEEE Trans. Signal Process., 2013

Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks.
IEEE Trans. Signal Process., 2013

Distributed Sum-Rate Maximization Over Finite Rate Coordination Links Affected by Random Failures.
IEEE Trans. Signal Process., 2013

Optimal Beamforming for Range-Doppler Ambiguity Minimization in Squinted SAR.
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.
IEEE Signal Process. Mag., 2013

Distributed Spectrum Estimation for Small Cell Networks Based on Sparse Diffusion Adaptation.
IEEE Signal Process. Lett., 2013

Joint Optimization of Radio Resources and Code Partitioning in Mobile Cloud Computing.
CoRR, 2013

Distributed Detection and Estimation in Wireless Sensor Networks.
CoRR, 2013

Joint allocation of computation and communication resources in multiuser mobile cloud computing.
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.
Proceedings of the IEEE International Conference on Acoustics, 2013

Parameter estimation of 2D Polynomial Phase Signals: An application to moving target imaging with SAR.
Proceedings of the IEEE International Conference on Acoustics, 2013

Computation offloading for mobile cloud computing based on wide cross-layer optimization.
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.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Decentralized Resource Assignment in Cognitive Networks Based on Swarming Mechanisms Over Random Graphs.
IEEE Trans. Signal Process., 2012

Sparse diffusion LMS for distributed adaptive estimation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
A Bio-Inspired Swarming Algorithm for Decentralized Access in Cognitive Radio.
IEEE Trans. Signal Process., 2011

A bio-inspired fast swarming algorithm for dynamic radio access.
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.
Proceedings of the IEEE International Conference on Acoustics, 2011

Bio-inspired swarming for dynamic radio access based on diffusion adaptation.
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.
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.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011


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