Federated Learning for Internet of Medical Things - Couverture rigide

 
9781032300764: Federated Learning for Internet of Medical Things
Couverture rigide
ISBN 10 : 1032300760 ISBN 13 : 9781032300764
Editeur : CRC Press, 2023

Synopsis

This book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It intends to build on the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the book shifts towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that present effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner. The book intends to create opportunities for healthcare communities to build effective FL solutions around the presented themes, and to support work in related areas that will benefit from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in the IoMT domain. The emphasis of this book is on understanding the contributions of IoMT to healthcare analytics, and its aim is to provide insights including evolution, research directions, challenges, and the way to empower healthcare services through federated learning.

The book also intends to cover the ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Pronaya Bhattacharya, Ashwin Verma, Sudeep Tanwar

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
CRC Press
Date d'édition
2023
Langue
anglais
ISBN 10 
1032300760
ISBN 13 
9781032300764
Reliure
Relié
Nombre de pages
291
Éditeur
Pronaya Bhattacharya, Verma Ashwin, Tanwar Sudeep
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Allemagne

Autres éditions populaires du même titre

9781032300788: Federated Learning for Internet of Medical Things

Edition présentée

ISBN 10 :  1032300787 ISBN 13 :  9781032300788
Editeur : CRC Press, 2024
Couverture souple