Edge Learning for Distributed Big Data Analytics

Theory, Algorithms, and System Design

By: Song Guo, Zhihao Qu

Write A Review

Hardcover | 10 February 2022

At a Glance

Hardcover
230 Pages

Edition Type
New edition

Dimensions(cm)
24.41 x 16.99 x 1.42

Hardcover

RRP $133.95

$121.75

or 4 interest-free payments of $30.44 with

Ships in 5 to 7 business days

Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine learning models, key challenges and issues, as well as comprehensive techniques including edge learning algorithms, and system design issues. Describes architectures, frameworks, and key technologies for learning performance, security, and privacy, as well as incentive issues in training/inference at the network edge. Intended to stimulate fruitful discussions, inspire further research ideas, and inform readers from both academia and industry backgrounds. Essential reading for experienced researchers and developers, or for those who are just entering the field.

Industry Reviews

'This book does especially well in suggesting thought-provoking future directions in each chapter and in threading together issues of data privacy and human behavior throughout ... Highly recommended.' J. Forrest, Choice

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $89.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.