Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Edge Learning for Distributed Big Data Analytics : Theory, Algorithms, and System Design, PDF eBook

Edge Learning for Distributed Big Data Analytics : Theory, Algorithms, and System Design PDF

PDF

Download - Immediately Available
Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

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.

Information

Save 15%

£64.00

£54.40

Download - Immediately Available
Add to Basket
Sign in to add to wishlist
 
Delivered to your inbox

to transfer to your device

eBook Help

Is this the right eBook for
my device? How do I download
this eBook? See help and FAQs pages

Information