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Federated Edge Learning
Yong Zhou, Wenzhi Fang, Yuanming Shi, Khaled B. Letaief (Gebundene Ausgabe, Englisch)
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Beschreibung
This book presents various effective schemes from the perspectives of algorithms, architectures, privacy, and security to enable scalable and trustworthy Federated Edge Learning (FEEL). From the algorithmic perspective, the authors elaborate various federated optimization algorithms, including zeroth-order, first-order, and second-order methods. There is a specific emphasis on presenting provable… convergence analysis to illustrate the impact of learning and wireless communication parameters. The convergence rate, computation complexity and communication overhead of the federated zeroth/first/second-order algorithms over wireless networks are elaborated. From the networking architecture perspective, the authors illustrate how the critical challenges of FEEL can be addressed by exploiting different architectures and designing effective communication schemes. Specifically, the communication straggler issue of FEEL can be mitigated by utilizing reconfigurable intelligent surface and unmanned aerial vehicle to reconfigure the propagation environment, while over-the-air computation is utilized to support ultra-fast model aggregation for FEEL by exploiting the waveform superposition property. Additionally, the multi-cell architecture presents a feasible solution for collaborative FEEL training among multiple cells. Finally, the authors discuss the challenges of FEEL from the privacy and security perspective, followed by presenting effective communication schemes that can achieve differentially private model aggregation and Byzantine-resilient model aggregation to achieve trustworthy FEEL. This book is designed for researchers and professionals whose focus is wireless communications. Advanced-level students majoring in computer science and electrical engineering will also find this book useful as a reference. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
30.08.2025
Sprache
Englisch
EAN
9783031966484
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Wireless Networks
Sonderedition
Nein
Autor
Yong Zhou, Wenzhi Fang, Yuanming Shi, Khaled B. Letaief
Seitenanzahl
190
Einbandart
Gebundene Ausgabe
Buch Untertitel
Algorithms, Architectures and Trustworthiness
Schlagwörter
Federated edge learning, Communication bottleneck, Statistical heterogeneity, System heterogeneity, Wireless Networks, trustworthiness, over-the-air computation, reconfigurable intelligent surface, unmanned aerial vehicle, differential privacy, Byzantine attack, convergence analysis
Thema-Inhalt
UKN - Netzwerk-Hardware
TJKW - Drahtlostechnologie
TJK - Nachrichtententechnik, Telekommunikation
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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