Handbook on Federated Learning: Advances, Applications and Opportunities

By: and and and and

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Synopsis
Mobile, wearable, and self-driving telephones are just a few examples of modern distributed networks that generate enormous amount of information every day. Due to the growing computing capacity of these devices as well as concerns over the transfer of private information, it has become important to process the part of the data locally by moving the learning methods and computing to the border of devices. Federated learning has developed as a model of education in these situations. Federated learning (FL) is an expert form of decentralized machine learning (ML). It is essential in areas like privacy, large-scale machine education and distribution. It is also based on the current stage of ICT and new hardware technology and is the next generation of artificial intelligence (AI). In FL, central ML model is built with all the data available in a centralised environment in the traditional machine learning. It works without problems when the predictions can be served by a central server. Users require fast responses in mobile computing, but the model processing happens at the sight of the server, thus taking too long. The model can be placed in the end-user device, but continuous learning is a challenge to overcome, as models are programmed in a complete dataset and the end-user device lacks access to the entire data package. Another challenge with traditional machine learning is that user data is aggregated at a central location where it violates local privacy policies laws and make the data more vulnerable to data violation. This book provides a comprehensive approach in federated learning for various aspects.
Copyright:
2024

Book Details

Book Quality:
Publisher Quality
Book Size:
356 Pages
ISBN-13:
9781003837527
Related ISBNs:
9781032471631, 9781003384854, 9781032471624
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
Vidya Nand Singh and Sunil Singh Kushvaha
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Saravanan Krishnan
Edited by:
A. Jose Anand
Edited by:
R. Srinivasan
Edited by:
R. Kavitha
Edited by:
S. Suresh

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