Titlebook: Communication Efficient Federated Learning for Wireless Networks; Mingzhe Chen,Shuguang Cui Book 2024 The Editor(s) (if applicable) and Th

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Introduction,f the new . command for typesetting the text of the online abstracts (cf. source file of this chapter template .) and include them with the source files of your manuscript. Use the plain . command if the abstract is also to appear in the printed version of the book.

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腐敗

Federated Learning for Autonomous Vehicles Control,trollers or traditional learning-based controllers, solely trained by each CAV’s local data, cannot guarantee a robust controller performance over a wide range of road conditions and traffic dynamics.

JADED

https://doi.org/10.1007/978-3-030-25482-7ts, we introduce several optimization theory based methods for resource management aiming to optimize the wireless FL performance metrics. Finally, several simulations are implemented to demonstrate the performance of the designed FL.

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VICT

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978-3-031-51268-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl