239 results on '"Stefano Rini"'
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2. Distributed Sampling for the Detection of Poisson Sources Under Observation Erasures.
3. Low-Rate Universal Vector Quantization for Federated Learning.
4. On Time-Encoded Sampling for Multigenerator Shift Invariant Spaces.
5. Coding for the Unsourced B-Channel with Erasures: Enhancing the Linked Loop Code.
6. Stationary Processes on Directed Graphs.
7. Deep CSI Compression in Wireless Networks: Exploiting Data Heterogeneity for User Clustering.
8. Empirical Risk Minimization With Relative Entropy Regularization.
9. M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion.
10. Coding for the Unsourced A-Channel with Erasures: The Linked Loop Code.
11. M22: Rate-Distortion Inspired Gradient Compression.
12. Optimal Strategies for Distributed Sampling and Detection of Poisson Processes.
13. Age-of-Gradient Updates for Federated Learning over Random Access Channels.
14. ARMA Processes with Discrete-Continuous Excitation: Compressibility Beyond Sparsity.
15. HAAQI-Net: A non-intrusive neural music quality assessment model for hearing aids.
16. Benchmarking Neural Capacity Estimation: Viability and Reliability.
17. Single-Snapshot DOA Estimation via Weighted Hankel-Structured Matrix Completion.
18. DNN gradient lossless compression: Can GenNorm be the answer?
19. Neural Capacity Estimators: How Reliable Are They?
20. Two-Snapshot DOA Estimation Via Hankel-Structured Matrix Completion.
21. On Distributed Sampling for Detection of Poisson Sources.
22. Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis.
23. Sharp asymptotics on the compression of two-layer neural networks.
24. Harmonic retrieval using weighted lifted-structure low-rank matrix completion.
25. Compressibility Measures for Affinely Singular Random Vectors.
26. Straggler Mitigation Through Unequal Error Protection for Distributed Approximate Matrix Multiplication.
27. Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences.
28. Coded Demixing for Unsourced Random Access.
29. Harmonic Retrieval Using Weighted Lifted-Structure Low-Rank Matrix Completion.
30. M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion.
31. Wireless Federated Learning with Limited Communication and Differential Privacy.
32. Straggler Mitigation through Unequal Error Protection for Distributed Matrix Multiplication.
33. An Exploration of the Heterogeneous Unsourced MAC.
34. Decentralized Optimization Over Noisy, Rate-Constrained Networks: How We Agree By Talking About How We Disagree.
35. Stochastic Binning and Coded Demixing for Unsourced Random Access.
36. Multi-Class Unsourced Random Access via Coded Demixing.
37. Decentralized SGD with Over-the-Air Computation.
38. A Novel Algorithm for Comparison-limited Vector Quantization.
39. The Information & Mutual Information Ratio for Counting Image Features and Their Matches.
40. On the Compressibility of Affinely Singular Random Vectors.
41. The Communication-Aware Clustered Federated Learning Problem.
42. On Secure Degrees of Freedom for K-User MISO Broadcast Channel With Alternating CSIT.
43. The Rate-Distortion Risk in Estimation From Compressed Data.
44. A Perspective on Neural Capacity Estimation: Viability and Reliability.
45. How to Attain Communication-Efficient DNN Training? Convert, Compress, Correct.
46. Convert, compress, correct: Three steps toward communication-efficient DNN training.
47. Lossy Gradient Compression: How Much Accuracy Can One Bit Buy?
48. Empirical Risk Minimization with Generalized Relative Entropy Regularization.
49. Distributed Sub-gradient Algorithms with Limited Communications.
50. Complete Fix-Free Codes for the Statistical Dictionary-Based String Matching Problem.
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