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Federated Learning
Engelsk
Bogcover for Federated Learning af Han Yu, Qiang Yang, Yang Liu, Tianjian Chen, Yong Cheng, Yan Kang, 9783031004575
Specifikationer
Sprog:
Engelsk
Sider:
189
ISBN-13:
9783031004575
Indbinding:
Paperback
ISBN-10:
3031004574
Udg. Dato:
19 dec 2019
Størrelse i cm:
18,9 x 23,6 x 1,6
Oplagsdato:
19 dec 2019

Federated Learning

Engelsk
Paperback 2019
Format:

Bog beskrivelse

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.

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Specifikationer
Sprog:
Engelsk
Sider:
189
ISBN-13:
9783031004575
Indbinding:
Paperback
ISBN-10:
3031004574
Udg. Dato:
19 dec 2019
Størrelse i cm:
18,9 x 23,6 x 1,6
Oplagsdato:
19 dec 2019
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