Apr 24, 2021 · After analyzing the key concepts of WFL, we discuss the core challenges of WFL imposed by the wireless (or mobile communication) environment.
Among the decentralized approaches, federated learning (FL) has been proposed as a promising solution for providing distributed artificial intelligence ...
After analyzing the key concepts of WFL, we discuss the core challenges of WFL imposed by the wireless ( or mobile communication ) environment. Finally, we shed ...
Apr 24, 2021 · After analyzing the key concepts of WFL, we discuss the core challenges of WFL imposed by the wireless (or mobile communication) environment.
Wireless Federated Learning (WFL) for 6G Networks⁴Part I: Research Challenges and Future Trends · Computer Science, Engineering. IEEE Communications Letters.
Duration: 0:22
Posted: Dec 29, 2022
Posted: Dec 29, 2022
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Wireless federated learning (WFL) for 6G networks part I:research challenges and future trends[J]. IEEE Communications Letters, 2022,26(1): 3-7. [5], YANG ...
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Diamantoulakis, and G. K. Karagiannidis, “Wireless federated learning (WFL) for 6G Networks - Part I: Research challenges and future trends,” submitted to IEEE ...
Oct 17, 2024 · Finally, the paper outlines several future research directions aimed at effectively integrating the FRL framework into wireless networks. INDEX ...
Jan 5, 2021 · In this paper, we provide a comprehensive study on the applications of FL for sixth generation (6G) wireless networks. First, we discuss the key ...
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