1-Bit Compressive Sensing for Efficient Federated Learning Over the Air

doi:doi:10.57702/xxxal8ua

1-Bit Compressive Sensing for Efficient Federated Learning Over the Air

This paper develops and analyzes a communication-efﬁcient scheme for federated learning (FL) over the air, which incorporates 1-bit compressive sensing (CS) into analog aggregation transmissions.

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Xin Fan, Yue Wang, Yan Huo, Zhi Tian (2024). Dataset: 1-Bit Compressive Sensing for Efficient Federated Learning Over the Air. https://doi.org/10.57702/xxxal8ua

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2103.16055
Author	Xin Fan
More Authors	Yue Wang Yan Huo Zhi Tian