Optimal Power Control for Over-the-Air Federated Learning with Gradient Compression

Federated Learning (FL) has emerged as a transformative approach in distributed machine learning, enabling the collaborative training of models using decentralized datasets from diverse sources such as mobile edge devices. This paradigm not only enhances data privacy but also significantly reduces t...

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Veröffentlicht in:	Proceedings - International Conference on Parallel and Distributed Systems S. 326 - 333
Hauptverfasser:	Ruan, Mengzhe, Li, Yunhe, Zhang, Weizhou, Song, Linqi, Xu, Weitao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 10.10.2024
Schlagworte:	Fading channels Federated learning Gradient Compression Linear approximation Noise Numerical stability Over-the-Air Computation Power control Power transmission Stability analysis Tuning Wireless networks
ISSN:	2690-5965
Online-Zugang:	Volltext
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