| Titolo |
Pubblicato in |
Anno |
| Graph topology inference based on sparsifying transform learning |
IEEE TRANSACTIONS ON SIGNAL PROCESSING |
2019 |
| Dynamic joint resource allocation and user assignment in multi-access edge computing |
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
2019 |
| Joint resource allocation for latency-constrained dynamic computation offloading with MEC |
IEEE Wireless Communications and Networking Conference |
2019 |
| Latency-constrained dynamic computation offloading with energy harvesting IoT devices |
IEEE International Conference on Computer Communications |
2019 |
| 6G: The next frontier: From holographic messaging to artificial intelligence using subterahertz and visible light communication |
IEEE VEHICULAR TECHNOLOGY MAGAZINE |
2019 |
| Network energy efficient mobile edge computing with reliability guarantees |
2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings |
2019 |
| Enabling prediction via multi-layer graph inference and sampling |
2019 13th International Conference on Sampling Theory and Applications, SampTA 2019 |
2019 |
| Distributed signal recovery based on in-network subspace projections |
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
2019 |
| Distributed adaptive learning of graph processes via in-network subspace projections |
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 |
| Optimal association of mobile users to multi-access edge computing resources |
IEEE International Conference on Communications Workshops 2018 - Proceedings |
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 |
| Learning from signals defined over simplicity complexes |
2018 IEEE Data Science Workshop, DSW 2018 - Proceedings |
2018 |
| Robust graph signal processing in the presence of uncertainties on graph topology |
IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC |
2018 |
| Small perturbation analysis of network topologies |
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
2018 |
| Signal and graph perturbations via total least-squares |
Conference Record - Asilomar Conference on Signals, Systems and Computers |
2018 |
| The edge cloud. A holistic view of communication, computation, and caching |
Cooperative and Graph Signal Processing: Principles and Applications |
2018 |
| On the graph Fourier transform for directed graphs |
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING |
2017 |
