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Federated Learning for Future Intelligent Wireless Networks (Hardcover)
Loot Price: R3,193
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Federated Learning for Future Intelligent Wireless Networks (Hardcover)
Expected to ship within 12 - 17 working days
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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.
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