Distributed Compression in the Era of Machine Learning: A Review of Recent Advances
Fuente:
arXiv
Saved in:
| Main Authors: | Ozyilkan, Ezgi, Erkip, Elza |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Distributed Compressor Discovers Binning
by: Ozyilkan, Ezgi, et al.
Published: (2023)
by: Ozyilkan, Ezgi, et al.
Published: (2023)
Robust Distributed Compression with Learned Heegard-Berger Scheme
by: Tasci, Eyyup, et al.
Published: (2024)
by: Tasci, Eyyup, et al.
Published: (2024)
Neural Compress-and-Forward for the Relay Channel
by: Ozyilkan, Ezgi, et al.
Published: (2024)
by: Ozyilkan, Ezgi, et al.
Published: (2024)
Neural Compress-and-Forward for the Primitive Diamond Relay Channel
by: Aygün, Ozan, et al.
Published: (2025)
by: Aygün, Ozan, et al.
Published: (2025)
Towards Efficient Device Identification in Massive Random Access: A Multi-stage Approach
by: Robin, Jyotish, et al.
Published: (2024)
by: Robin, Jyotish, et al.
Published: (2024)
Learning-Based Compress-and-Forward Schemes for the Relay Channel
by: Ozyilkan, Ezgi, et al.
Published: (2024)
by: Ozyilkan, Ezgi, et al.
Published: (2024)
Learning to Write on Dirty Paper
by: Ozyilkan, Ezgi, et al.
Published: (2025)
by: Ozyilkan, Ezgi, et al.
Published: (2025)
3D Beamforming Through Joint Phase-Time Arrays
by: Yildiz, Ozlem, et al.
Published: (2024)
by: Yildiz, Ozlem, et al.
Published: (2024)
Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information
by: Yilmaz, Selim F., et al.
Published: (2023)
by: Yilmaz, Selim F., et al.
Published: (2023)
Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM
by: Carpi, Fabrizio, et al.
Published: (2024)
by: Carpi, Fabrizio, et al.
Published: (2024)
Recent Advances in Deep Learning for Channel Coding: A Survey
by: Matsumine, Toshiki, et al.
Published: (2024)
by: Matsumine, Toshiki, et al.
Published: (2024)
Recent Advances in Spatially Coupled Codes: Overview and Outlook
by: Qiu, Min, et al.
Published: (2026)
by: Qiu, Min, et al.
Published: (2026)
A Survey on Stacked Intelligent Metasurfaces: Fundamentals, Recent Advances, and Challenges
by: Sheemar, Chandan Kumar, et al.
Published: (2026)
by: Sheemar, Chandan Kumar, et al.
Published: (2026)
Extremum-Based Joint Compression and Detection for Distributed Sensing
by: Weiss, Amir, et al.
Published: (2026)
by: Weiss, Amir, et al.
Published: (2026)
Intelligent Surfaces Empowered Wireless Network: Recent Advances and The Road to 6G
by: Wu, Qingqing, et al.
Published: (2023)
by: Wu, Qingqing, et al.
Published: (2023)
Recent Advances in Near-Field Beam Training and Channel Estimation for XL-MIMO Systems
by: Zeng, Ming, et al.
Published: (2025)
by: Zeng, Ming, et al.
Published: (2025)
Simultaneously Transmitting And Reflecting (STAR) RIS for 6G: Fundamentals, Recent Advances, and Future Directions
by: Liu, Yuanwei, et al.
Published: (2023)
by: Liu, Yuanwei, et al.
Published: (2023)
dreaMLearning: Data Compression Assisted Machine Learning
by: Zhao, Xiaobo, et al.
Published: (2025)
by: Zhao, Xiaobo, et al.
Published: (2025)
Near-Field User Localization and Channel Estimation for XL-MIMO Systems: Fundamentals, Recent Advances, and Outlooks
by: Lei, Hao, et al.
Published: (2024)
by: Lei, Hao, et al.
Published: (2024)
Robust Distributed Phase Retrieval for Multi-View Compressive Networked Sensing With Outliers
by: Yang, Ming-Hsun
Published: (2025)
by: Yang, Ming-Hsun
Published: (2025)
On the Suboptimality of Rate--Distortion-Optimal Compression: Fundamental Accuracy Limits for Distributed Localization
by: Weiss, Amir
Published: (2026)
by: Weiss, Amir
Published: (2026)
A Survey of Recent Advances in Optimization Methods for Wireless Communications
by: Liu, Ya-Feng, et al.
Published: (2024)
by: Liu, Ya-Feng, et al.
Published: (2024)
Meta-Learning-Based Fronthaul Compression for Cloud Radio Access Networks
by: Qiao, Ruihua, et al.
Published: (2024)
by: Qiao, Ruihua, et al.
Published: (2024)
Distribution-Agnostic Database De-Anonymization Under Obfuscation And Synchronization Errors
by: Bakirtas, Serhat, et al.
Published: (2024)
by: Bakirtas, Serhat, et al.
Published: (2024)
One-Shot Wyner-Ziv Compression of a Uniform Source
by: Ülger, Oğuzhan Kubilay, et al.
Published: (2024)
by: Ülger, Oğuzhan Kubilay, et al.
Published: (2024)
Wireless Information and Energy Transfer in the Era of 6G Communications
by: Psomas, Constantinos, et al.
Published: (2024)
by: Psomas, Constantinos, et al.
Published: (2024)
Deep CSI Compression for Dual-Polarized Massive MIMO Channels with Disentangled Representation Learning
by: Fan, Suhang, et al.
Published: (2024)
by: Fan, Suhang, et al.
Published: (2024)
A Unified Algorithmic Framework for Dynamic Compressive Sensing
by: Liu, Xiaozhi, et al.
Published: (2023)
by: Liu, Xiaozhi, et al.
Published: (2023)
A Framework for Robust Lossy Compression of Heavy-Tailed Sources
by: Ezzeddine, Karim, et al.
Published: (2024)
by: Ezzeddine, Karim, et al.
Published: (2024)
Solve Mismatch Problem in Compressed Sensing
by: Yang, Le
Published: (2024)
by: Yang, Le
Published: (2024)
Compression and Acceleration of Neural Networks for Communications
by: Guo, Jiajia, et al.
Published: (2019)
by: Guo, Jiajia, et al.
Published: (2019)
Greedy Algorithms for Hybrid Compressed Sensing
by: Tai, Ching-Lun, et al.
Published: (2019)
by: Tai, Ching-Lun, et al.
Published: (2019)
Compressed Shaping: Concept and FPGA Demonstration
by: Yoshida, Tsuyoshi, et al.
Published: (2021)
by: Yoshida, Tsuyoshi, et al.
Published: (2021)
Robustness in Wireless Distributed Learning: An Information-Theoretic Analysis
by: He, Yangshuo, et al.
Published: (2024)
by: He, Yangshuo, et al.
Published: (2024)
Differentiable Machine Learning-Based Modeling for Directly-Modulated Lasers
by: Hernandez, Sergio, et al.
Published: (2023)
by: Hernandez, Sergio, et al.
Published: (2023)
Machine Learning for Future Wireless Communications: Channel Prediction Perspectives
by: Kim, Hwanjin, et al.
Published: (2025)
by: Kim, Hwanjin, et al.
Published: (2025)
Windowed Compressed Spectrum Sensing with Block sparsity
by: Zhang, Huiguang, et al.
Published: (2024)
by: Zhang, Huiguang, et al.
Published: (2024)
Phase Transitions in Phase-Only Compressed Sensing
by: Chen, Junren, et al.
Published: (2025)
by: Chen, Junren, et al.
Published: (2025)
Model-Driven Deep Learning for Distributed Detection with Binary Quantization
by: Guo, Wei, et al.
Published: (2024)
by: Guo, Wei, et al.
Published: (2024)
Coherence-Aware Distributed Learning under Heterogeneous Downlink Impairments
by: Karbalayghareh, Mehdi, et al.
Published: (2025)
by: Karbalayghareh, Mehdi, et al.
Published: (2025)
Similar Items
-
Neural Distributed Compressor Discovers Binning
by: Ozyilkan, Ezgi, et al.
Published: (2023) -
Robust Distributed Compression with Learned Heegard-Berger Scheme
by: Tasci, Eyyup, et al.
Published: (2024) -
Neural Compress-and-Forward for the Relay Channel
by: Ozyilkan, Ezgi, et al.
Published: (2024) -
Neural Compress-and-Forward for the Primitive Diamond Relay Channel
by: Aygün, Ozan, et al.
Published: (2025) -
Towards Efficient Device Identification in Massive Random Access: A Multi-stage Approach
by: Robin, Jyotish, et al.
Published: (2024)