31.325, Books: Federated Learning: Yang, Liu, Cheng, Kang

[The LINGUIST List]

LINGUIST List: Vol-31-325. Thu Jan 23 2020. ISSN: 1069 - 4875.

Subject: 31.325, Books: Federated Learning: Yang, Liu, Cheng, Kang

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Date: Thu, 23 Jan 2020 11:43:33
From: Bebe Barrow [barrow at morganclaypool.com]
Subject: Federated Learning: Yang, Liu, Cheng, Kang

 


Title: Federated Learning 
Series Title: Synthesis Lectures on Artificial Intelligence and Machine Learning edited by Ronald Brachman, Francesca Rossi, and Peter Stone  

Publication Year: 2020 
Publisher: Morgan & Claypool Publishers
	   http://www.morganclaypool.com
	

Book URL: https://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1494 


Author: Qiang Yang
Author: Yang Liu
Author: Yong Cheng
Author: Yan Kang

Electronic: ISBN:  9781681736983 Pages: 207 Price: U.S. $ 63.96
Hardback: ISBN:  9781681736990 Pages: 207 Price: U.S. $ 99.95
Paperback: ISBN:  9781681736976 Pages: 207 Price: U.S. $ 79.95


Abstract:

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.
 



Linguistic Field(s): Cognitive Science
                     Computational Linguistics


Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=141053




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