Federated AI for Real-World Business Scenarios
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- Hardcover
- Taschenbuch ausgewählt
- eBook
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Sprache:Englisch
92,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
29.01.2024
Abbildungen
93 SW-Abb., 10 SW-Fotos, 83 SW-Zeichn., 21 Tabellen
Verlag
Taylor & FrancisSeitenzahl
218
Maße (L/B/H)
23,4/15,6/1,2 cm
Gewicht
339 g
Sprache
Englisch
ISBN
978-1-03-204935-9
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.
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