79 results on '"Di Lorenzo, Paolo"'
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2. Analog versus Digital Pulse Amplitude Modulation for Goal-Oriented Wireless Communications
3. Parametric Dictionary Learning for Topological Signal Representation
4. Cell Attention Networks
5. Topological Slepians: Maximally Localized Representations of Signals Over Simplicial Complexes
6. Pooling Strategies for Simplicial Convolutional Networks
7. Lyapunov-Driven Deep Reinforcement Learning for Edge Inference Empowered by Reconfigurable Intelligent Surfaces
8. Power Minimizing MEC Offloading with QoS Constraints over RIS-Empowered Communications
9. Reconfigurable Intelligent Surface Aided Mobile Edge Computing over Intermittent mmWave Links
10. Dynamic Resource Allocation for Multi-User Goal-oriented Communications at the Wireless Edge
11. Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces
12. Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning
13. Goal-Oriented Communication for Edge Learning Based On the Information Bottleneck
14. Dynamic Resource Optimization for Adaptive Federated Learning Empowered by Reconfigurable Intelligent Surfaces
15. Energy-Efficient Classification at the Wireless Edge with Reliability Guarantees
16. Dynamic Ensemble Inference at the Edge
17. Wireless Environment as a Service Enabled by Reconfigurable Intelligent Surfaces: The RISE-6G Perspective
18. Online Learning of Time-Varying Signals and Graphs
19. Network Energy Efficient Mobile Edge Computing with Reliability Guarantees
20. Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation
21. Distributed Adaptive Learning of Graph Processes via In-Network Subspace Projections
22. Enabling Prediction via Multi-Layer Graph Inference and Sampling
23. Latency-Constrained Dynamic Computation Offloading with Energy Harvesting IoT Devices
24. Joint Resource Allocation for Latency-Constrained Dynamic Computation Offloading with MEC
25. Observing Bandlimited Graph Processes from Subsampled Measurements
26. Online Recovery of Time- varying Signals Defined over Dynamic Graphs
27. Distributed Wiener-Based Reconstruction of Graph Signals
28. Optimal Power and Bit Allocation for Graph Signal Interpolation
29. Distributed recursive least squares strategies for adaptive reconstruction of graph signals
30. Optimal sampling strategies for adaptive learning of graph signals
31. Graph Fourier Transform for directed graphs based on Lovász extension of min-cut
32. Graph topology inference based on transform learning
33. Distributed adaptive learning of signals defined over graphs
34. Parallel and distributed training of neural networks via successive convex approximation
35. LMS estimation of signals defined over graphs
36. Distributed nonconvex optimization over time-varying networks
37. Distributed nonconvex optimization over networks
38. Uncertainty principle and sampling of signals defined on graphs
39. Adaptive Graph Signal Processing: Algorithms and Optimal Sampling Strategies.
40. Stochastic Training of Neural Networks via Successive Convex Approximations.
41. Network formation games based on conditional independence graphs
42. Distributed Adaptive Learning of Graph Signals.
43. Computation offloading strategies based on energy minimization under computational rate constraints
44. Distributed least mean squares strategies for sparsity-aware estimation over Gaussian Markov random fields
45. Joint allocation of computation and communication resources in multiuser mobile cloud computing
46. Decentralized estimation and control of algebraic connectivity of random ad-hoc networks
47. Sparse diffusion LMS for distributed adaptive estimation
48. Optimal beamforming for range-doppler ambiguity suppression in squinted SAR systems
49. Distributed stochastic pricing for sum-rate maximization in femtocell networks with random graph and quantized communications
50. A bio-inspired fast swarming algorithm for dynamic radio access
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