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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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樓主: Melanin
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發(fā)表于 2025-3-25 04:02:37 | 只看該作者
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發(fā)表于 2025-3-25 08:10:41 | 只看該作者
https://doi.org/10.1007/3-540-29274-8In this chapter, we first discuss the basic principle and techniques of over the air computation (AirComp), and then explore its deployment in a communication-efficient FL system.
23#
發(fā)表于 2025-3-25 13:38:20 | 只看該作者
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發(fā)表于 2025-3-25 18:09:10 | 只看該作者
Federated Learning with Over the Air Computation,In this chapter, we first discuss the basic principle and techniques of over the air computation (AirComp), and then explore its deployment in a communication-efficient FL system.
25#
發(fā)表于 2025-3-25 22:44:41 | 只看該作者
Federated Learning for Mobile Edge Computing, this problem, a support vector machine (SVM)-based FL algorithm is used to determine the user association proactively. The introduced SVM-based FL method enables each HAB to cooperatively build an SVM model that can determine all user associations without any transmissions of either user historical
26#
發(fā)表于 2025-3-26 02:49:14 | 只看該作者
27#
發(fā)表于 2025-3-26 07:42:57 | 只看該作者
Communication Efficient Federated Learning for Wireless Networks
28#
發(fā)表于 2025-3-26 09:23:23 | 只看該作者
Biologische Informationsverarbeitung, this problem, a support vector machine (SVM)-based FL algorithm is used to determine the user association proactively. The introduced SVM-based FL method enables each HAB to cooperatively build an SVM model that can determine all user associations without any transmissions of either user historical
29#
發(fā)表于 2025-3-26 15:58:24 | 只看該作者
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發(fā)表于 2025-3-26 18:16:03 | 只看該作者
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