Name: Federated Learning (en Inglés)
Price: 81750.00 CLP
Availability: InStock
Author: Yang, Qiang ; Liu, Yang ; Cheng, Yong
ISBN: 9783031004575

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

189

Encuadernación

Tapa Blanda

Dimensiones

23.5 x 19.1 x 1.1 cm

Peso

0.37 kg.

ISBN13

9783031004575

Categorías

Matemáticas aplicadas
Inteligencia artificial

Federated Learning (en Inglés)

Yang Liu (Autor) · Qiang Yang (Autor) · Yong Cheng (Autor) · Springer · Tapa Blanda

Libro Físico

$ 81.750

$ 163.490

Ahorras: $ 81.740

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Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Federated Learning (en Inglés)"

How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.