Paolo Di Lorenzo | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Distributed stochastic nonconvex optimization and learning based on successive convex approximation	Conference Record - Asilomar Conference on Signals, Systems and Computers	2019
Dynamic resource optimization for decentralized signal estimation in energy harvesting wireless sensor networks	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings	2019
Observing bandlimited graph processes from subsampled measurements	Conference Record - Asilomar Conference on Signals, Systems and Computers	2019
Stochastic training of neural networks via successive convex approximations	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS	2018
Adaptive graph signal processing: algorithms and optimal sampling strategies	IEEE TRANSACTIONS ON SIGNAL PROCESSING	2018
Sampling and recovery of graph signals	Cooperative and Graph Signal Processing	2018
Optimal power and bit allocation for graph signal interpolation	IEEE ICASSP 2018	2018
Distributed wiener-based reconstruction of graph signals	2018 IEEE Statistical Signal Processing Workshop, SSP 2018	2018
Online recovery of time-varying signals defined over dynamic graphs	Eusipco 2018	2018
A framework for parallel and distributed training of neural networks	NEURAL NETWORKS	2017
On the graph Fourier transform for directed graphs	IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING	2017
Distributed adaptive learning of graph signals	IEEE TRANSACTIONS ON SIGNAL PROCESSING	2017
Graph Fourier transform for directed graphs based on LovÃ¡sz extension of min-cut	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings	2017
Optimal sampling strategies for adaptive learning of graph signals	Proceedings of European Signal Processing Conference (EUSIPCO 2017)	2017
Distributed recursive least squares strategies for adaptive reconstruction of graph signals	Proceedings of European Signal Processing Conference (EUSIPCO 2017)	2017
Distributed semi-supervised support vector machines	NEURAL NETWORKS	2016
Signals on graphs: Uncertainty principle and sampling	IEEE TRANSACTIONS ON SIGNAL PROCESSING	2016
Adaptive Least Mean Squares Estimation of Graph Signals	IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS	2016
Graph topology inference based on transform learning	Proc. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)	2016
Distributed adaptive learning of signals defined over graphs	Conference Record - Asilomar Conference on Signals, Systems and Computers	2016

Progetti di Ricerca

Distributed Online Nonconvex Optimization for Adaptive and Scalable Design of the Internet of Things
SKY-EDGE: ENABLING 3D MANAGEMENT OF COMMUNICATION/ COMPUTATION/CACHING RESOURCES THROUGH DYNAMIC CONTROL OF AERIAL PLATFORMS