Federated AI for Real-World Business Scenarios
Название: Federated AI for Real-World Business Scenarios
Автор: Dinesh C. Verma
Издательство: CRC Press
Формат: pdf (true)
Размер: 10.1 MB
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.
Artificial Intelligence (AI) holds a significant potential to transform the way many operations and processes are conducted in the real world. There have been many significant advances in the field of AI, primarily in the field of Machine Learning (ML), and that has led to many useful utilities, ranging from approaches that allow us to talk to machines, and for computers to use vision to perform a variety of functions, such as allowing access into secure premises. However, despite all the great advances made in the field of AI, it would be fair to say that we have just scratched the surface, and that a significant amount of impact is still to be made.