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Paolo Di Lorenzo
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2020 – today
- 2024
- [j45]Marco Polverini
, Stefania Sardellitti, Sergio Barbarossa, Antonio Cianfrani, Paolo Di Lorenzo, Marco Listanti:
Reducing the In band Network Telemetry overhead through the spatial sampling: Theory and experimental results. Comput. Networks 242: 110269 (2024) - [j44]Stefania Sardellitti
RIS-Aided Wireless Fingerprinting Localization Based on Multilayer Graph Representations. IEEE Commun. Lett. 28(5): 1043-1047 (2024) - [j43]Francesco Binucci
Opportunistic Information-Bottleneck for Goal-Oriented Feature Extraction and Communication. IEEE Open J. Commun. Soc. 5: 2418-2432 (2024) - [j42]Claudio Battiloro
Generalized Simplicial Attention Neural Networks. IEEE Trans. Signal Inf. Process. over Networks 10: 833-850 (2024) - [j41]Claudio Battiloro
Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back. IEEE Trans. Signal Process. 72: 1892-1909 (2024) - [j40]Gabriele D'Acunto
Learning Multi-Frequency Partial Correlation Graphs. IEEE Trans. Signal Process. 72: 2953-2969 (2024) - [c71]Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore, Adnan Aijaz, Marios Kountouris, Deniz Gündüz, Petar Popovski
Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach. EuCNC/6G Summit 2024: 1-6 - [c70]Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo:
Topological Adaptive Learning over Cell Complexes. EUSIPCO 2024: 832-836 - [c69]Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo:
Dynamic Relative Representations for Goal-Oriented Semantic Communications. EUSIPCO 2024: 2107-2111 - [c68]Simone Fiorellino, Claudio Battiloro, Paolo Di Lorenzo:
Topological Neural Networks over the Air. ICASSP 2024: 12986-12990 - [c67]Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo:
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. ICLR 2024 - [c66]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:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - [c65]Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos:
The Interference Broadcast Channel with Reconfigurable Intelligent Surfaces: A Cooperative Sum-Rate Maximization Approach. SPAWC 2024: 551-555 - [c64]Nour Hello, Paolo Di Lorenzo, Emilio Calvanese Strinati:
Semantic Communication Enhanced by Knowledge Graph Representation Learning. SPAWC 2024: 876-880 - [i37]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
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - [i36]Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo:
Dynamic Relative Representations for Goal-Oriented Semantic Communications. CoRR abs/2403.16986 (2024) - [i35]Alessio Devoto, Simone Petruzzi, Jary Pomponi, Paolo Di Lorenzo, Simone Scardapane:
Adaptive Semantic Token Selection for AI-native Goal-oriented Communications. CoRR abs/2405.02330 (2024) - [i34]Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos:
Multi-RIS-Empowered Multiple Access: A Distributed Sum-Rate Maximization Approach. CoRR abs/2406.19334 (2024) - [i33]Nour Hello, Paolo Di Lorenzo, Emilio Calvanese Strinati:
Semantic Communication Enhanced by Knowledge Graph Representation Learning. CoRR abs/2407.19338 (2024) - [i32]Alessio Devoto, Federico Alvetreti, Jary Pomponi, Paolo Di Lorenzo, Pasquale Minervini, Simone Scardapane:
Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning. CoRR abs/2408.08670 (2024) - [i31]Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos:
The Interference Broadcast Channel with Reconfigurable Intelligent Surfaces: A Cooperative Sum-Rate Maximization Approach. CoRR abs/2409.03841 (2024) - 2023
- [j39]Sergio Barbarossa, Danilo Comminiello, Eleonora Grassucci
Semantic Communications Based on Adaptive Generative Models and Information Bottleneck. IEEE Commun. Mag. 61(11): 36-41 (2023) - [j38]George C. Alexandropoulos
RIS-enabled smart wireless environments: deployment scenarios, network architecture, bandwidth and area of influence. EURASIP J. Wirel. Commun. Netw. 2023(1): 103 (2023) - [j37]Paolo Di Lorenzo, Mattia Merluzzi, Francesco Binucci, Claudio Battiloro, Paolo Banelli, Emilio Calvanese Strinati, Sergio Barbarossa:
Goal-Oriented Communications for the IoT: System Design and Adaptive Resource Optimization. IEEE Internet Things Mag. 6(4): 26-32 (2023) - [j36]Claudio Battiloro
Lyapunov-Based Optimization of Edge Resources for Energy-Efficient Adaptive Federated Learning. IEEE Trans. Green Commun. Netw. 7(1): 265-280 (2023) - [j35]Francesco Binucci
Multi-User Goal-Oriented Communications With Energy-Efficient Edge Resource Management. IEEE Trans. Green Commun. Netw. 7(4): 1709-1724 (2023) - [j34]Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa:
Multiscale Causal Structure Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c63]Fabio Saggese, Victor Croisfelt
Control Aspects for Using RIS in Latency-Constrained Mobile Edge Computing. ACSSC 2023: 174-181 - [c62]Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa:
Analog versus Digital Pulse Amplitude Modulation for Goal-Oriented Wireless Communications. EUSIPCO 2023: 1415-1419 - [c61]Claudio Battiloro, Paolo Di Lorenzo, Alejandro Ribeiro:
Parametric Dictionary Learning for Topological Signal Representation. EUSIPCO 2023: 1958-1962 - [c60]Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa:
Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes. ICASSP 2023: 1-5 - [c59]Claudio Battiloro, Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo:
Topological Signal Processing Over Weighted Simplicial Complexes. ICASSP 2023: 1-5 - [c58]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back. ICASSP 2023: 1-5 - [c57]Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo:
Pooling Strategies for Simplicial Convolutional Networks. ICASSP 2023: 1-5 - [c56]Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo, George C. Alexandropoulos:
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces. ICASSP 2023: 1-5 - [c55]Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa:
Cell Attention Networks. IJCNN 2023: 1-8 - [c54]Francesco Binucci, Mattia Merluzzi, Paolo Banelli, Emilio Calvanese Strinati, Paolo Di Lorenzo:
Enabling Edge Artificial Intelligence via Goal-oriented Deep Neural Network Splitting. ISWCS 2023: 1-6 - [c53]Stefania Sardellitti, Marco Polverini, Sergio Barbarossa, Antonio Cianfrani, Paolo Di Lorenzo, Marco Listanti:
In Band Network Telemetry Overhead Reduction Based on Data Flows Sampling and Recovering. NetSoft 2023: 414-419 - [i30]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
RIS-Enabled Smart Wireless Environments: Deployment Scenarios, Network Architecture, Bandwidth and Area of Influence. CoRR abs/2303.08505 (2023) - [i29]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Convolutional Learning: from Manifolds to Cellular Sheaves and Back. CoRR abs/2303.11323 (2023) - [i28]Kyriakos Stylianopoulos, Mattia Merluzzi, Paolo Di Lorenzo, George C. Alexandropoulos:
Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces. CoRR abs/2305.10931 (2023) - [i27]Claudio Battiloro, Indro Spinelli, Lev Telyatnikov, Michael M. Bronstein, Simone Scardapane, Paolo Di Lorenzo:
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module. CoRR abs/2305.16174 (2023) - [i26]Claudio Battiloro, Lucia Testa, Lorenzo Giusti, Stefania Sardellitti, Paolo Di Lorenzo, Sergio Barbarossa:
Generalized Simplicial Attention Neural Networks. CoRR abs/2309.02138 (2023) - [i25]Gabriele D'Acunto, Paolo Di Lorenzo, Francesco Bonchi, Stefania Sardellitti, Sergio Barbarossa:
Learning Multi-Frequency Partial Correlation Graphs. CoRR abs/2311.15756 (2023) - [i24]Mattia Merluzzi, Francesca Costanzo, Konstantinos D. Katsanos, George C. Alexandropoulos, Paolo Di Lorenzo:
Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications. CoRR abs/2312.09944 (2023) - 2022
- [j33]Francesco Binucci
Adaptive resource optimization for edge inference with goal-oriented communications. EURASIP J. Adv. Signal Process. 2022(1): 123 (2022) - [j32]Paolo Di Lorenzo
Dynamic edge computing empowered by reconfigurable intelligent surfaces. EURASIP J. Wirel. Commun. Netw. 2022(1): 122 (2022) - [j31]Mattia Merluzzi
Discontinuous Computation Offloading for Energy-Efficient Mobile Edge Computing. IEEE Trans. Green Commun. Netw. 6(2): 1242-1257 (2022) - [c52]Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa:
Dynamic Resource Allocation for Multi-User Goal-oriented Communications at the Wireless Edge. EUSIPCO 2022: 697-701 - [c51]Mattia Merluzzi, Francesca Costanzo, Konstantinos D. Katsanos
Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications. GLOBECOM 2022: 5457-5462 - [c50]Lorenzo Giusti, Claudio Battiloro
Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning. ICASSP 2022: 3593-3597 - [c49]Claudio Battiloro
Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces. ICASSP 2022: 4083-4087 - [c48]Francesco Pezone
Goal-Oriented Communication for Edge Learning Based On the Information Bottleneck. ICASSP 2022: 8832-8836 - [c47]Mattia Merluzzi, Claudio Battiloro
Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees. ICC Workshops 2022: 109-114 - [c46]Fatima Ezzahra Airod, Mattia Merluzzi, Paolo Di Lorenzo, Emilio Calvanese Strinati:
Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links. SPAWC 2022: 1-5 - [c45]Konstantinos D. Katsanos
Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces. SPAWC 2022: 1-5 - [i23]Lorenzo Giusti, Claudio Battiloro, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa:
Simplicial Attention Neural Networks. CoRR abs/2203.07485 (2022) - [i22]Fatima Ezzahra Airod, Mattia Merluzzi, Paolo Di Lorenzo, Emilio Calvanese Strinati:
Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links. CoRR abs/2205.15052 (2022) - [i21]Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa:
Multiscale Causal Structure Learning. CoRR abs/2207.07908 (2022) - [i20]Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos:
Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces. CoRR abs/2208.01354 (2022) - [i19]Lorenzo Giusti, Claudio Battiloro, Lucia Testa, Paolo Di Lorenzo, Stefania Sardellitti, Sergio Barbarossa:
Cell Attention Networks. CoRR abs/2209.08179 (2022) - [i18]Domenico Mattia Cinque, Claudio Battiloro, Paolo Di Lorenzo:
Pooling Strategies for Simplicial Convolutional Networks. CoRR abs/2210.05490 (2022) - [i17]Claudio Battiloro, Zhiyang Wang, Hans Riess, Paolo Di Lorenzo, Alejandro Ribeiro:
Tangent Bundle Filters and Neural Networks: from Manifolds to Cellular Sheaves and Back. CoRR abs/2210.15058 (2022) - 2021
- [j30]Mattia Merluzzi
Wireless Edge Machine Learning: Resource Allocation and Trade-Offs. IEEE Access 9: 45377-45398 (2021) - [j29]Claudio Battiloro
Dynamic Resource Optimization for Decentralized Estimation in Energy Harvesting IoT Networks. IEEE Internet Things J. 8(10): 8530-8542 (2021) - [j28]Simone Scardapane
Distributed Training of Graph Convolutional Networks. IEEE Trans. Signal Inf. Process. over Networks 7: 87-100 (2021) - [c44]Emilio Calvanese Strinati, George C. Alexandropoulos, Vincenzo Sciancalepore, Marco Di Renzo, Henk Wymeersch
Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective. EuCNC/6G Summit 2021: 562-567 - [c43]Mattia Merluzzi, Alessio Martino
Dynamic Ensemble Inference at the Edge. GLOBECOM 2021: 1-6 - [c42]Paolo Di Lorenzo, Claudio Battiloro
Dynamic Resource Optimization for Adaptive Federated Learning at the Wireless Network Edge. ICASSP 2021: 4910-4914 - [c41]Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo:
Online Learning of Time-Varying Signals and Graphs. ICASSP 2021: 5230-5234 - [c40]Paolo Di Lorenzo, Mattia Merluzzi, Emilio Calvanese Strinati:
Dynamic Mobile Edge Computing empowered by Reconfigurable Intelligent Surfaces. SPAWC 2021: 526-530 - [i16]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:
Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective. CoRR abs/2104.06265 (2021) - 2020
- [j27]Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo, Geert Leus:
Observing and tracking bandlimited graph processes from sampled measurements. Signal Process. 177: 107749 (2020) - [j26]Stefania Colonnese
A Joint Markov Model for Communities, Connectivity and Signals Defined Over Graphs. IEEE Signal Process. Lett. 27: 1160-1164 (2020) - [j25]Mattia Merluzzi
Dynamic Computation Offloading in Multi-Access Edge Computing via Ultra-Reliable and Low-Latency Communications. IEEE Trans. Signal Inf. Process. over Networks 6: 342-356 (2020) - [j24]Paolo Di Lorenzo
Distributed Signal Processing and Optimization Based on In-Network Subspace Projections. IEEE Trans. Signal Process. 68: 2061-2076 (2020) - [c39]Francesca Costanzo, Paolo Di Lorenzo, Sergio Barbarossa:
Dynamic Resource Optimization and Altitude Selection in Uav-Based Multi-Access Edge Computing. ICASSP 2020: 4985-4989 - [c38]Claudio Battiloro
Distributed Tensor Completion Over Networks. ICASSP 2020: 8599-8603 - [c37]Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa:
Dynamic Resource Allocation for Wireless Edge Machine Learning with Latency And Accuracy Guarantees. ICASSP 2020: 9036-9040 - [i15]Paolo Di Lorenzo, Simone Scardapane:
Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. CoRR abs/2004.14882 (2020) - [i14]Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo:
Distributed Graph Convolutional Networks. CoRR abs/2007.06281 (2020)
2010 – 2019
- 2019
- [j23]Rosa Altilio, Paolo Di Lorenzo
Distributed data clustering over networks. Pattern Recognit. 93: 603-620 (2019) - [j22]Stefania Sardellitti
Graph Topology Inference Based on Sparsifying Transform Learning. IEEE Trans. Signal Process. 67(7): 1712-1727 (2019) - [c36]Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti:
Distributed Adaptive Learning of Graph Processes via In-Network Subspace Projections. ACSSC 2019: 41-45 - [c35]Paolo Di Lorenzo, Simone Scardapane:
Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation. ACSSC 2019: 2224-2228 - [c34]Mattia Merluzzi, Nicola di Pietro
Network Energy Efficient Mobile Edge Computing with Reliability Guarantees. GLOBECOM 2019: 1-6 - [c33]Paolo Di Lorenzo, Claudio Battiloro
Dynamic Resource Optimization for Decentralized Signal Estimation in Energy Harvesting Wireless Sensor Networks. ICASSP 2019: 4454-4458 - [c32]Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa:
Dynamic Joint Resource Allocation and User Assignment in Multi-access Edge Computing. ICASSP 2019: 4759-4763 - [c31]Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti:
Distributed Signal Recovery Based on In-network Subspace Projections. ICASSP 2019: 5242-5246 - [c30]Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa:
Latency-Constrained Dynamic Computation Offloading with Energy Harvesting IoT Devices. INFOCOM Workshops 2019: 750-755 - [c29]Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa, Valerio Frascolla:
Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC. WCNC Workshops 2019: 1-6 - [e1]Emilio Calvanese Strinati, Dimitris Charitos, Ioannis Chatzigiannakis, Paolo Ciampolini, Francesca Cuomo, Paolo Di Lorenzo, Damianos Gavalas, Sten Hanke, Andreas Komninos, Georgios Mylonas:
Joint Proceeding of the Poster and Workshop Sessions of AmI-2019, the 2019 European Conference on Ambient Intelligence, Rome, Italy, November 13-15, 2019. CEUR Workshop Proceedings 2492, CEUR-WS.org 2019 [contents] - 2018
- [j21]Simone Scardapane
Stochastic Training of Neural Networks via Successive Convex Approximations. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4947-4956 (2018) - [j20]Paolo Di Lorenzo
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. IEEE Trans. Signal Process. 66(13): 3584-3598 (2018) - [c28]Elvin Isufi, Paolo Banelli, Paolo Di Lorenzo
Observing Bandlimited Graph Processes from Subsampled Measurements. ACSSC 2018: 168-174 - [c27]Paolo Di Lorenzo
Online Recovery of Time- varying Signals Defined over Dynamic Graphs. EUSIPCO 2018: 131-135 - [c26]Paolo Di Lorenzo
Optimal Power and Bit Allocation for Graph Signal Interpolation. ICASSP 2018: 4649-4653 - [c25]Elvin Isufi, Paolo Di Lorenzo
Distributed Wiener-Based Reconstruction of Graph Signals. SSP 2018: 21-25 - 2017
- [j19]Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
On the Graph Fourier Transform for Directed Graphs. IEEE J. Sel. Top. Signal Process. 11(6): 796-811 (2017) - [j18]Simone Scardapane
A framework for parallel and distributed training of neural networks. Neural Networks 91: 42-54 (2017) - [j17]Paolo Di Lorenzo
Distributed Adaptive Learning of Graph Signals. IEEE Trans. Signal Process. 65(16): 4193-4208 (2017) - [c24]Paolo Di Lorenzo
Optimal sampling strategies for adaptive learning of graph signals. EUSIPCO 2017: 1684-1688 - [c23]Paolo Di Lorenzo
Distributed recursive least squares strategies for adaptive reconstruction of graph signals. EUSIPCO 2017: 2289-2293 - [c22]Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
Graph Fourier Transform for directed graphs based on Lovász extension of min-cut. ICASSP 2017: 3894-3898 - [i13]Simone Scardapane, Paolo Di Lorenzo:
Stochastic Training of Neural Networks via Successive Convex Approximations. CoRR abs/1706.04769 (2017) - [i12]Paolo Di Lorenzo, Paolo Banelli, Elvin Isufi, Sergio Barbarossa, Geert Leus:
Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies. CoRR abs/1709.03726 (2017) - 2016
- [j16]Simone Scardapane
Distributed semi-supervised support vector machines. Neural Networks 80: 43-52 (2016) - [j15]Paolo Di Lorenzo
NEXT: In-Network Nonconvex Optimization. IEEE Trans. Signal Inf. Process. over Networks 2(2): 120-136 (2016) - [j14]Paolo Di Lorenzo
Adaptive Least Mean Squares Estimation of Graph Signals. IEEE Trans. Signal Inf. Process. over Networks 2(4): 555-568 (2016) - [j13]Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo
Signals on Graphs: Uncertainty Principle and Sampling. IEEE Trans. Signal Process. 64(18): 4845-4860 (2016) - [c21]Paolo Di Lorenzo
Distributed adaptive learning of signals defined over graphs. ACSSC 2016: 527-531 - [c20]Paolo Di Lorenzo
LMS estimation of signals defined over graphs. EUSIPCO 2016: 2121-2125 - [c19]Stefania Sardellitti, Sergio Barbarossa, Paolo Di Lorenzo
Graph topology inference based on transform learning. GlobalSIP 2016: 356-360 - [c18]Paolo Di Lorenzo
Distributed nonconvex optimization over time-varying networks. ICASSP 2016: 4124-4128 - [c17]Paolo Di Lorenzo
Parallel and distributed training of neural networks via successive convex approximation. MLSP 2016: 1-6 - [i11]Paolo Di Lorenzo, Gesualdo Scutari:
NEXT: In-Network Nonconvex Optimization. CoRR abs/1602.00591 (2016) - [i10]Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti:
Least Mean Squares Estimation of Graph Signals. CoRR abs/1602.05703 (2016) - [i9]Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa, Stefania Sardellitti:
Distributed Adaptive Learning of Graph Signals. CoRR abs/1609.06100 (2016) - [i8]Simone Scardapane, Paolo Di Lorenzo:
A Framework for Parallel and Distributed Training of Neural Networks. CoRR abs/1610.07448 (2016) - 2015
- [c16]Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo
Uncertainty principle and sampling of signals defined on graphs. ACSSC 2015: 1813-1818 - [c15]Paolo Di Lorenzo
Distributed nonconvex optimization over networks. CAMSAP 2015: 229-232 - [c14]Sergio Barbarossa
Network formation games based on conditional independence graphs. ICASSP 2015: 2944-2948 - [i7]Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo:
Signals on Graphs: Uncertainty Principle and Sampling. CoRR abs/1507.08822 (2015) - [i6]Mikhail Tsitsvero, Sergio Barbarossa, Paolo Di Lorenzo:
Uncertainty Principle and Sampling of Signals Defined on Graphs. CoRR abs/1512.00775 (2015) - 2014
- [j12]Sergio Barbarossa
Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks. IEEE Signal Process. Mag. 31(6): 45-55 (2014) - [j11]Sergio Barbarossa
Parameter Estimation of 2D Multi-Component Polynomial Phase Signals: An Application to SAR Imaging of Moving Targets. IEEE Trans. Signal Process. 62(17): 4375-4389 (2014) - [j10]Paolo Di Lorenzo
Distributed Estimation and Control of Algebraic Connectivity Over Random Graphs. IEEE Trans. Signal Process. 62(21): 5615-5628 (2014) - [j9]Paolo Di Lorenzo
Diffusion Adaptation Strategies for Distributed Estimation Over Gaussian Markov Random Fields. IEEE Trans. Signal Process. 62(21): 5748-5760 (2014) - [c13]Sergio Barbarossa
Computation offloading strategies based on energy minimization under computational rate constraints. EuCNC 2014: 1-5 - [c12]Paolo Di Lorenzo
Distributed least mean squares strategies for sparsity-aware estimation over Gaussian Markov random fields. ICASSP 2014: 5472-5476 - [i5]Paolo Di Lorenzo:
Diffusion Adaptation Strategies for Distributed Estimation over Gaussian Markov Random Fields. CoRR abs/1407.3698 (2014) - 2013
- [j8]Paolo Di Lorenzo
Distributed Spectrum Estimation for Small Cell Networks Based on Sparse Diffusion Adaptation. IEEE Signal Process. Lett. 20(12): 1261-1265 (2013) - [j7]Paolo Di Lorenzo
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. 30(3): 144-154 (2013) - [j6]Paolo Di Lorenzo
Optimal Beamforming for Range-Doppler Ambiguity Minimization in Squinted SAR. IEEE Trans. Aerosp. Electron. Syst. 49(1): 277-293 (2013) - [j5]Paolo Di Lorenzo
Distributed Sum-Rate Maximization Over Finite Rate Coordination Links Affected by Random Failures. IEEE Trans. Signal Process. 61(3): 648-660 (2013) - [j4]Paolo Di Lorenzo
Sparse Distributed Learning Based on Diffusion Adaptation. IEEE Trans. Signal Process. 61(6): 1419-1433 (2013) - [j3]Paolo Di Lorenzo
Bio-Inspired Decentralized Radio Access Based on Swarming Mechanisms Over Adaptive Networks. IEEE Trans. Signal Process. 61(12): 3183-3197 (2013) - [c11]Paolo Di Lorenzo, Sergio Barbarossa:
Distributed control of wireless ad-hoc networks connectivity incorporating realistic channel models. EUSIPCO 2013: 1-5 - [c10]Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo:
Computation offloading for mobile cloud computing based on wide cross-layer optimization. Future Network & Mobile Summit 2013: 1-10 - [c9]Paolo Di Lorenzo
Decentralized estimation and control of algebraic connectivity of random ad-hoc networks. ICASSP 2013: 4474-4478 - [c8]Sergio Barbarossa
Parameter estimation of 2D Polynomial Phase Signals: An application to moving target imaging with SAR. ICASSP 2013: 4554-4558 - [c7]Sergio Barbarossa
Joint allocation of computation and communication resources in multiuser mobile cloud computing. SPAWC 2013: 26-30 - [i4]Sergio Barbarossa, Stefania Sardellitti, Paolo Di Lorenzo:
Distributed Detection and Estimation in Wireless Sensor Networks. CoRR abs/1307.1448 (2013) - [i3]Paolo Di Lorenzo, Sergio Barbarossa, Stefania Sardellitti:
Joint Optimization of Radio Resources and Code Partitioning in Mobile Cloud Computing. CoRR abs/1307.3835 (2013) - [i2]Paolo Di Lorenzo, Sergio Barbarossa:
Distributed Estimation and Control of Algebraic Connectivity over Random Graphs. CoRR abs/1309.3200 (2013) - 2012
- [j2]Paolo Di Lorenzo
Decentralized Resource Assignment in Cognitive Networks Based on Swarming Mechanisms Over Random Graphs. IEEE Trans. Signal Process. 60(7): 3755-3769 (2012) - [c6]Paolo Di Lorenzo
Sparse diffusion LMS for distributed adaptive estimation. ICASSP 2012: 3281-3284 - [i1]Paolo Di Lorenzo, Ali H. Sayed:
Sparse Distributed Learning Based on Diffusion Adaptation. CoRR abs/1206.3099 (2012) - 2011
- [j1]Paolo Di Lorenzo
A Bio-Inspired Swarming Algorithm for Decentralized Access in Cognitive Radio. IEEE Trans. Signal Process. 59(12): 6160-6174 (2011) - [c5]Paolo Di Lorenzo
Distributed stochastic pricing for sum-rate maximization in femtocell networks with random graph and quantized communications. CAMSAP 2011: 165-168 - [c4]Paolo Di Lorenzo
Optimal beamforming for range-doppler ambiguity suppression in squinted SAR systems. CAMSAP 2011: 169-172 - [c3]Paolo Di Lorenzo, Sergio Barbarossa, Ali H. Sayed:
Bio-inspired swarming for dynamic radio access based on diffusion adaptation. EUSIPCO 2011: 402-406 - [c2]Paolo Di Lorenzo
Bio-inspired swarming models for decentralized radio access incorporating random links and quantized communications. ICASSP 2011: 5780-5783 - [c1]Paolo Di Lorenzo
A bio-inspired fast swarming algorithm for dynamic radio access. DSP 2011: 1-6
Coauthor Index
[j45] [j44] [j43] [j42] [j40] [j39] [j37] [j36] [j35] [j34] [c62] [c60] [c59] [c55] [c53] [i26] [i25] [j33] [j32] [j31] [c52] [c50] [c49] [c48] [i23] [i21] [i19] [j30] [j29] [c43] [c42] [c41] [j25] [j24] [c39] [c37] [j22] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [j20] [c26] [j19] [j17] [c24] [c23] [c22] [i12] [j14] [j13] [c21] [c20] [c19] [i10] [i9] [c16] [c14] [i7] [i6] [j12] [j11] [j10] [c13] [c12] [j8] [j7] [j6] [j5] [j3] [c11] [c10] [c9] [c8] [c7] [i4] [i3] [i2] [j2] [c6] [j1] [c5] [c4] [c3] [c2] [c1]
Konstantinos Katsanos
aka: Konstantinos D. Katsanos
aka: Konstantinos D. Katsanos
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