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Federated Learning for Future Intelligent Wireless Networks (Hardcover) Loot Price: R3,272
Discovery Miles 32 720
Federated Learning for Future Intelligent Wireless Networks (Hardcover): Yao Sun, Chaoqun You, Gang Feng, Lei Zhang

Federated Learning for Future Intelligent Wireless Networks (Hardcover)

Yao Sun, Chaoqun You, Gang Feng, Lei Zhang

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Loot Price R3,272 Discovery Miles 32 720 | Repayment Terms: R307 pm x 12*

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Explore the concepts, algorithms, and applications underlying federated learning In Federated Learning for Future Intelligent Wireless Networks, a team of distinguished researchers delivers a robust and insightful collection of resources covering the foundational concepts and algorithms powering federated learning, as well as explanations of how they can be used in wireless communication systems. The editors have included works that examine how communication resource provision affects federated learning performance, accuracy, convergence, scalability, and security and privacy. In the book, readers will explore a wide range of topics that show how federated learning algorithms, concepts, and design and optimization issues that apply to wireless communications. Readers will also find: A thorough introduction to the fundamental concepts and algorithms of federated learning, including horizontal, vertical, and hybrid FL Comprehensive explorations of wireless communication network design and optimization for federated learning Practical discussions of novel federated learning algorithms and frameworks for future wireless networks Expansive case studies in edge intelligence, autonomous driving, IoT, MEC, blockchain, and content caching and distribution Perfect for electrical and computer science engineers, researchers, professors, and postgraduate students with an interest in machine learning, Federated Learning for Future Intelligent Wireless Networks will also benefit regulators and institutional actors responsible for overseeing and making policy in the area of artificial intelligence.

General

Imprint: Wiley-IEEE Press
Country of origin: United States
Release date: December 2023
First published: 2024
Editors: Yao Sun • Chaoqun You • Gang Feng • Lei Zhang
Format: Hardcover
Pages: 400
ISBN-13: 978-1-119-91389-4
Categories: Books > Computing & IT > General
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LSN: 1-119-91389-6
Barcode: 9781119913894

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