Federated Learning for Future Intelligent Wireless Networks

Federated Learning for Future Intelligent Wireless Networks
Author :
Publisher : John Wiley & Sons
Total Pages : 324
Release :
ISBN-10 : 9781119913917
ISBN-13 : 1119913918
Rating : 4/5 (17 Downloads)

Book Synopsis Federated Learning for Future Intelligent Wireless Networks by : Yao Sun

Download or read book Federated Learning for Future Intelligent Wireless Networks written by Yao Sun and published by John Wiley & Sons. This book was released on 2023-12-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Federated Learning for Future Intelligent Wireless Networks, a team of distinguished researchers deliver 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. Readers will explore a wide range of topics that show how federated learning algorithms, concepts, and design and optimization issues 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.


Federated Learning for Future Intelligent Wireless Networks Related Books

Federated Learning for Future Intelligent Wireless Networks
Language: en
Pages: 324
Authors: Yao Sun
Categories: Technology & Engineering
Type: BOOK - Published: 2023-12-04 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Federated Learni
Federated Learning for Future Intelligent Wireless Networks
Language: en
Pages: 324
Authors: Yao Sun
Categories: Technology & Engineering
Type: BOOK - Published: 2023-12-27 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Federated Learni
Federated Learning for Wireless Networks
Language: en
Pages: 257
Authors: Choong Seon Hong
Categories: Computers
Type: BOOK - Published: 2022-01-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are most
Machine Learning and Wireless Communications
Language: en
Pages: 560
Authors: Yonina C. Eldar
Categories: Technology & Engineering
Type: BOOK - Published: 2022-06-30 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applicat
Artificial Intelligent Techniques for Wireless Communication and Networking
Language: en
Pages: 388
Authors: R. Kanthavel
Categories: Computers
Type: BOOK - Published: 2022-02-24 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication