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標(biāo)題: Titlebook: Communication Efficient Federated Learning for Wireless Networks; Mingzhe Chen,Shuguang Cui Book 2024 The Editor(s) (if applicable) and Th [打印本頁(yè)]

作者: Melanin    時(shí)間: 2025-3-21 17:01
書目名稱Communication Efficient Federated Learning for Wireless Networks影響因子(影響力)




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書目名稱Communication Efficient Federated Learning for Wireless Networks被引頻次




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書目名稱Communication Efficient Federated Learning for Wireless Networks年度引用學(xué)科排名




書目名稱Communication Efficient Federated Learning for Wireless Networks讀者反饋




書目名稱Communication Efficient Federated Learning for Wireless Networks讀者反饋學(xué)科排名





作者: onlooker    時(shí)間: 2025-3-21 22:29

作者: musicologist    時(shí)間: 2025-3-22 02:06
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.
作者: 歡呼    時(shí)間: 2025-3-22 06:00

作者: 腐敗    時(shí)間: 2025-3-22 11:29
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.
作者: JADED    時(shí)間: 2025-3-22 14:24
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.
作者: JADED    時(shí)間: 2025-3-22 19:59

作者: 擦掉    時(shí)間: 2025-3-22 22:16

作者: VICT    時(shí)間: 2025-3-23 04:28

作者: engrave    時(shí)間: 2025-3-23 08:13
978-3-031-51268-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: AVID    時(shí)間: 2025-3-23 11:24

作者: abduction    時(shí)間: 2025-3-23 14:32

作者: Anticlimax    時(shí)間: 2025-3-23 18:38
https://doi.org/10.1007/978-3-030-25482-7to optimize wireless FL performance metrics (i.e., FL training loss, convergence time, energy efficiency). In particular, we first analyze how wireless factors (i.e., transmit power, spectrum interference, packet error rates) affect the FL performance. Then, using the FL convergence analytical resul
作者: HIKE    時(shí)間: 2025-3-23 22:30
Biologische Informationsverarbeitung,AVs). One key challenge in developing CAVs is the design of an autonomous controller that can accurately execute near real-time control decisions, such as a quick acceleration when merging to a highway and frequent speed changes in a stop-and-go traffic. However, the use of conventional feedback con
作者: headway    時(shí)間: 2025-3-24 04:26
Biologische Informationsverarbeitung,mputing (MEC)-enabled balloon network. In the considered network, each user needs to process a computational task in each time instant, where high-altitude balloons (HABs), acting as flying wireless base stations, can use their powerful computational abilities to process the tasks offloaded from the
作者: 情感    時(shí)間: 2025-3-24 09:05

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作者: SLING    時(shí)間: 2025-3-24 22:16

作者: hermetic    時(shí)間: 2025-3-25 02:04
Fundamentals and Preliminaries of Federated Learning,en, we introduce four important performance metrics to quantify the FL performance over wireless networks and analyze how wireless factors affect these metrics. Finally, we present the research directions and industry interest of designing communication efficient FL over wireless networks.
作者: 決定性    時(shí)間: 2025-3-25 04:02

作者: 植物學(xué)    時(shí)間: 2025-3-25 08:10
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.
作者: Forsake    時(shí)間: 2025-3-25 13:38

作者: lanugo    時(shí)間: 2025-3-25 18:09
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.
作者: 引水渠    時(shí)間: 2025-3-25 22:44
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
作者: CROAK    時(shí)間: 2025-3-26 02:49

作者: Bother    時(shí)間: 2025-3-26 07:42
Communication Efficient Federated Learning for Wireless Networks
作者: FEIGN    時(shí)間: 2025-3-26 09:23
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
作者: BOLT    時(shí)間: 2025-3-26 15:58

作者: Headstrong    時(shí)間: 2025-3-26 18:16

作者: admission    時(shí)間: 2025-3-26 23:29
Fundamentals and Preliminaries of Federated Learning,en, we introduce four important performance metrics to quantify the FL performance over wireless networks and analyze how wireless factors affect these metrics. Finally, we present the research directions and industry interest of designing communication efficient FL over wireless networks.
作者: 指數(shù)    時(shí)間: 2025-3-27 01:34

作者: Ordeal    時(shí)間: 2025-3-27 05:40

作者: NIL    時(shí)間: 2025-3-27 09:50

作者: Pamphlet    時(shí)間: 2025-3-27 16:46
Scatter Searchtter search methodology that proves effective when searching for optimal weight values in a multilayer neural network. Through experimentation, we show that our instantiation of scatter search can compete with the best-known training algorithms in terms of training quality while keeping the computational effort at a reasonable level.
作者: sigmoid-colon    時(shí)間: 2025-3-27 18:30

作者: ABOUT    時(shí)間: 2025-3-28 01:57
Hamid Reza Karimi,Tore Bakkand die Zielmarken des programmproduzierenden Kapitals, das insbesondere in seiner hochkonzentrierten, im Hinblick auf die Pressekonzerne zudem sehr ?marktbeengten“ Form auf neue Anlage- und Expansionsm?glichkeiten aus ist. Eine wesentliche Rolle spielen schlie?lich der Staat und die Bundespost, die
作者: 增強(qiáng)    時(shí)間: 2025-3-28 02:58
Book 1999Latest editionlied to the diverse aspects of ESRD? journals, scientific periodicals, and professional Furthermore, although far from a new concept, publications on a daily basis, yet implementation Continuous Quality Improvement (CQI) has taken of a quality system in many hospital units is its place as a dominant
作者: 使更活躍    時(shí)間: 2025-3-28 09:22

作者: macabre    時(shí)間: 2025-3-28 11:09
in low and middle-income countries.Reviews the socio-economi.This open access book provides a framework to describe why digitalization of the medical provision services is needed and which level of digitalization is possible in low- and middle-income countries (LMIC). These countries have traditiona
作者: ovation    時(shí)間: 2025-3-28 15:21





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