000			03338nam a22004094u 4500
001			10.1002/9781119913924
003			Wiley
005			20251030120318.0
007			cr nn 008mam|a
008			231206t2023||||xxu fs| |0|| 0|eng||
020			_a9781119913924 _qelectronic
024	7		_a10.1002/9781119913924 _2doi
041			_aeng
245	0	0	_aFederated Learning for Future Intelligent Wireless Networks _h[electronic resource] _cEdited by Yao Sun, Chaoqun You, Gang Feng, Lei Zhang.
250			_a1
260			_bWiley _c2023
264		1	_bWiley _c2023
300			_a320pp.;
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _2rdaft
347			_bPDF
520			_aFederated 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.
650		4	_aCommunication Technology - Networks
650		4	_aIntelligent Systems & Agents
650		4	_aArtificial Intelligence _958441
653	0	0	_aFederated learning operations; federated learning challenges; federated learning algorithms; federated learning applications; federated learning case studies; 6g; 6g federated learning; fl; 6g fl; federated learning privacy; edge intelligence
700	1		_aSun, Yao _4edt _992116
700	1		_aYou, Chaoqun _4edt _992117
700	1		_aFeng, Gang _4edt _992118
700	1		_aZhang, Lei _4edt _970337
776	0	8	_iPrinted edition: _z9781119913894
856	4	0	_uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119913924 _aWiley Online Library
856	4	2	_3Cover Image _uhttps://onlinelibrary.wiley.com/cms/asset/bc97e5f8-fb2d-4a5f-b085-6ba3d7d74053/9781119913924.cover.gif _aWiley Online Library
999			_c67224 _d67224