Communication-efficient personalized federated edge learning for massive mimo csi feedback

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Training Machine Learning models at the Edge: A Survey

AR Khouas, MR Bouadjenek, H Hacid… - arXiv preprint arXiv …, 2024 - arxiv.org
Edge Computing (EC) has gained significant traction in recent years, promising enhanced
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …
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A Survey of Federated Learning for mmWave Massive MIMO

VA Nugroho, BM Lee - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Millimeter wave massive multi input multi output (mmWave m-MIMO) holds immense
potential for beyond 5G networks, however its practical implementation faces hurdles in …
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Dig-CSI: A Distributed and Generative Model Assisted CSI Feedback Training Framework

Z Du, Z Liu, H Li, S Fan, X Gu… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
The advent of deep learning (DL)-based models has significantly advanced Channel State
Information (CSI) feedback mechanisms in wireless communication systems. However …
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Training CSI Feedback Model with Federated Learning in Massive Mimo Systems

Z Du, H Li, L Li, B Zhang, Z Liu… - 2023 8th IEEE …, 2023 - ieeexplore.ieee.org
The basic centralized learning method in Deep learning-based downlink channel state
information (CSI) feedback requires a large dataset that needs to be collected either in …
被引用次数：1 相关文章