£109.35

Springer Federated Edge Learning - Wireless Networks Book

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£125.18 £107.77 £111.57 £115.37 £119.16 £122.96 £126.76 28 January 2026 18 February 2026 12 March 2026 02 April 2026 24 April 2026

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Price distribution over 87 days • 5 price levels

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3 days · current 24 days 12 days 17 days 23 days 0 6 12 18 24 £109 £114 £119 £121 £125 Days at Price

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Most common price: £114 (24 days, 30.4%)

Price range: £109 - £125

Price levels: 5 different prices over 79 days

Description

Expand your technical knowledge with Federated Edge Learning: Algorithms, Architectures and Trustworthiness. Published by Springer as part of the Wireless Networks series, this book provides a focused look at the evolving landscape of edge computing and decentralized machine learning. As networking and security requirements grow more complex, understanding the intersection of edge intelligence and distributed algorithms becomes essential for professionals and students in the computing and internet sectors. This text serves as a specialized resource for those studying network hardware and the software frameworks that drive modern wireless connectivity. Whether you are researching new architectures or looking to understand the reliability of distributed systems, this Springer publication offers a structured approach to the subject. It is an ideal addition to a technical library focused on networking, security, and the future of wireless network infrastructure.

Key Features

Part of the professional Wireless Networks series from Springer, providing academic and technical depth.

Focuses on the core concepts of algorithms and architectures within the federated edge learning domain.

Addresses the important topic of trustworthiness in decentralized network environments.

Designed for readers interested in the intersection of computing, internet technologies, and networking.

Provides specialized knowledge relevant to the study of network hardware and security protocols.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 August 2025
Listed Since
14 May 2025

Barcode

No barcode data available

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