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Event-Based State Estimation: A Stochastic Perspective (Studies in Systems, Decision and Control, 41)
Book 37 of 378: Studies in Systems, Decision and ControlSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Event-Based State Estimation: A Stochastic Perspective (Studies in Systems, Decision and Control, 41)
Book 37 of 378: Studies in Systems, Decision and ControlSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. XIII, 208 37 illus., 32 illus. in color. Softcover reprint of the original 1st ed. 2016 edition NO-PA16APR2015-KAP.
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FinTech and SupTech in China (Contributions to Finance and Accounting)
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Hardcover. Condition: Brand New. 9.75x6.75x0.75 inches. In Stock.
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Federated Learning for Wireless Networks
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Federated Learning for Wireless Networks
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Federated Learning for Wireless Networks
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 310 | Sprache: Englisch | Produktart: Bücher | This book comprehensively analyzes and summarizes the types, characteristics and prevention of deep-sea geological disasters in the South China Sea based on the research progress of global background. It also brings attention to the general public and stakeholders the risks of deep-sea geological disasters.
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Hardcover. Condition: Brand New. 180 pages. 9.25x6.10x9.21 inches. In Stock.
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Federated Learning for Wireless Networks
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Seismic Imaging, Fault Damage and Heal
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: New.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Federated Learning for Wireless Networks
Language: English
Published by Springer Nature Singapore, 2021
ISBN 10: 9811649626 ISBN 13: 9789811649622
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 268 | Sprache: Englisch | Produktart: Bücher | Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links. Therefore, wireless impairments such as uncertainties among wireless channel states, interference, and noise significantly affect the performance of FL. On the other hand, federated-reinforcement learning leverages distributed computation power and data to solve complex optimization problems that arise in various use cases, such as interference alignment, resource management, clustering, and network control. Traditionally, FL makes the assumption that edge devices will unconditionally participate in the tasks when invited, which is not practical in reality due to the cost of model training. As such, building incentive mechanisms is indispensable for FL networks. This book provides a comprehensive overview of FL for wireless networks. It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy. It also presents several solutions based on optimizationtheory, graph theory, and game theory to optimize the performance of federated learning in wireless networks. Lastly, the third part describes several applications of FL in wireless networks.
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Condition: As New. Unread book in perfect condition.
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Deepwater Geohazards in the South China Sea Wu, Shiguo; Sun, Yunbao; Li, Qingping; Wang, Jiliang; Wang, Dawei; Sun, Qiliang; Chen, Chuanxu; Xie, Yangbing
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germany
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Hardcover. Condition: gut. 2024. Deepwater Geohazards in the South China Sea In deutscher Sprache. pages.
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Seismic Imaging, Fault Damage and Heal
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 194.36
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Paperback. Condition: Brand New. 265 pages. 9.25x6.10x0.56 inches. In Stock.
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Federated Learning for Wireless Networks
Language: English
Published by Springer-Nature New York Inc, 2021
ISBN 10: 9811649626 ISBN 13: 9789811649622
Hardcover. Condition: Brand New. 265 pages. 9.25x6.10x0.83 inches. In Stock.
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Federated Learning for Wireless Networks Choong Seon Hong, Latif U. Khan, Zhu Han, Dawei Chen, Walid Saad, Mingzhe Chen
Language: English
Published by Springer Nature Singapore, 2021
ISBN 10: 9811649626 ISBN 13: 9789811649622
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germany
Seller rating 5 out of 5 stars
Hardcover. Condition: gut. 2021. Federated Learning for Wireless Networks In deutscher Sprache. pages.
