000			03301cam a2200517Mi 4500
001			9781003027171
003			FlBoTFG
005			20220711212435.0
006			m o d
007			cr |n|||||||||
008			210716s2021 flu ob 001 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781000462524 _q(electronic bk.)
020			_a1000462528 _q(electronic bk.)
020			_a9781000462593 _q(ePub ebook)
020			_a1000462595
020			_a9781003027171 _q(ebook)
020			_a1003027172
020			_z9780367861575
020			_z0367861577
024	7		_a10.1201/9781003027171 _2doi
035			_a(OCoLC)1260291595
035			_a(OCoLC-P)1260291595
050		4	_aLB1032
072		7	_aCOM _x004000 _2bisacsh
072		7	_aUYQ _2bicssc
082	0	4	_a006.31 _223
100	1		_aVerma, Dinesh C., _eauthor. _916558
245	1	0	_aFederated AI for real-world business scenarios _h[electronic resource] / _cDinesh Verma, IBM Fellow and Department Group Manager, Distributed AI, IBM TJ Watson Research Center Yorktown Heights, NY, USA.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, _c2021.
300			_a1 online resource
336			_atext _2rdacontent
336			_astill image _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
520			_aThis book provides an overview of Federated Learning and how it can be used to build real-world AI-enabled applications. Real-world AI applications frequently have training data distributed in many different locations, with data at different sites having different properties and different formats. In many cases, data movement is not permitted due to security concerns, bandwidth, cost or regulatory restriction. Under these conditions, techniques of federated learning can enable creation of practical applications. Creating practical applications requires implementation of the cycle of learning from data, inferring from data, and acting based on the inference. This book will be the first one to cover all stages of the Learn-Infer-Act cycle, and presents a set of patterns to apply federation to all stages. Another distinct feature of the book is the use of real-world applications with an approach that discusses all aspects that need to be considered in an operational system, including handling of data issues during federation, maintaining compliance with enterprise security policies, and simplifying the logistics of federated AI in enterprise contexts. The book considers federation from a manner agnostic to the actual AI models, allowing the concepts to be applied to all varieties of AI models. This book is probably the first one to cover the space of enterprise AI-based applications in a holistic manner.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMachine learning _xIndustrial applications. _912876
650		0	_aArtificial intelligence _xIndustrial applications. _95729
650		0	_aTeams in the workplace. _914446
650		7	_aCOMPUTERS / Artificial Intelligence _2bisacsh _912740
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003027171
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cEBK
999			_c71285 _d71285