This book24.2 x 16.4 x 1.7 cm9.53 x 6.46 x 0.67 in
Ship to
New Zealand
Select your country
Americas
Argentina
Brazil
Canada
Chile
Colombia
Costa Rica
Dominican Republic
Ecuador
El Salvador
Mexico
Peru
U.S.A.
Uruguay
Europe
Austria
Belgium
Croatia
Czech Republic
Denmark
Finland
France
Germany
Greece
Hungary
Ireland
Italy
Latvia
Malta
Netherlands
Norway
Poland
Portugal
Serbia
Slovakia
Slovenia
Spain
Sweden
Switzerland
United Kingdom
Rest of the world
Applications of Federated Learning in Technological Advancements. Use Cases and Applications
A. Prasanth;S. Jayachitra;Rajesh Kumar Dhanaraj;Danilo Pelusi;Balasubramaniam S
Applications of Federated Learning in Technological Advancements. Use Cases and Applications
A. Prasanth;S. Jayachitra;Rajesh Kumar Dhanaraj;Danilo Pelusi;Balasubramaniam S (Author) · Chapman & Hall/CRC · Hardcover
Applications of Federated Learning in Technological Advancements. Use Cases and Applications
A. Prasanth;S. Jayachitra;Rajesh Kumar Dhanaraj;Danilo Pelusi;Balasubramaniam S
This book explores the applications and advancements of Federated Learning across diverse sectors, focusing on its integration with cutting-edge technologies like IoT, AI, Blockchain, and Digital Twins. Real-world examples and case studies illustrate Federated Learning’s role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into Federated Learning''s transformative potential, offering practical strategies for intelligent systems and sustainable environments.
Focuses on the Federated Learning-based Model Optimization, addressing the significance of IoT and Federated Learning in the evolution of intelligent systems for various applicationsDescribes the different optimisation techniques of federated learning systems from a practical point of viewHighlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/6G communication, and computing standardsProvides analysis of the use cases of federated learning regarding the development of IoT, AI, Blockchain, Digital twinsOffers strategies to overcome challenges for overcoming challenges associated with Federated Learning systems, including connectivity, computation, threats, privacy and security issues.It covers fundamental concepts, practical implementations, and trends to serve as a reference resource for professionals and researchers in the field.
Do you have a question about the book? Login to be able to add your own question.