Federated AI for real-world business scenarios (Record no. 71285)

000 -LEADER
fixed length control field 03301cam a2200517Mi 4500
001 - CONTROL NUMBER
control field 9781003027171
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220711212435.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210716s2021 flu ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000462524
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000462528
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781000462593
-- (ePub ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1000462595
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781003027171
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 1003027172
082 04 - CLASSIFICATION NUMBER
Call Number 006.31
100 1# - AUTHOR NAME
Author Verma, Dinesh C.,
245 10 - TITLE STATEMENT
Title Federated AI for real-world business scenarios
250 ## - EDITION STATEMENT
Edition statement First edition.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource
520 ## - SUMMARY, ETC.
Summary, etc This 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Industrial applications.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Industrial applications.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781003027171
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Boca Raton, FL :
-- CRC Press,
-- 2021.
336 ## -
-- text
-- rdacontent
336 ## -
-- still image
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Teams in the workplace.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS / Artificial Intelligence

No items available.