Split Federated Learning for Secure IoT Applications
portes grátis
Split Federated Learning for Secure IoT Applications
Concepts, frameworks, applications and case studies
Jhanjhi, N.Z.; Lokesh, Gururaj Harinahalli; Hukkeri, Geetabai S.; Lin, Hong
Institution of Engineering and Technology
10/2024
285
Dura
9781839539459
15 a 20 dias
Descrição não disponível.
Chapter 1: Introduction to federated learning, split learning and splitfed learning
Chapter 2: Splitfed learning processing for IoT and Big Data applications
Chapter 3: Blockchain-driven splitfed learning for data protection in IoT setting
Chapter 4: Splitfed learning methods for natural language processing
Chapter 5: The role of splitfed learning in recommendation systems
Chapter 6: Reconfigurable intelligent surface (RIS)-inspired splitfed learning for over-the-air
Chapter 7: Enhancing computational performance in healthcare through federated learning approach
Chapter 8: Splitfed learning for multimodal emotion detection
Chapter 9: Split federated learning-based educational data analysis
Chapter 10: Splitfed learning for smart transportation
Chapter 11: Splitfed learning for smart grids
Chapter 12: Splitfed learning for smart agriculture
Chapter 13: A case study on splitfed learning implementation
Chapter 14: Conclusion and future directions
Chapter 2: Splitfed learning processing for IoT and Big Data applications
Chapter 3: Blockchain-driven splitfed learning for data protection in IoT setting
Chapter 4: Splitfed learning methods for natural language processing
Chapter 5: The role of splitfed learning in recommendation systems
Chapter 6: Reconfigurable intelligent surface (RIS)-inspired splitfed learning for over-the-air
Chapter 7: Enhancing computational performance in healthcare through federated learning approach
Chapter 8: Splitfed learning for multimodal emotion detection
Chapter 9: Split federated learning-based educational data analysis
Chapter 10: Splitfed learning for smart transportation
Chapter 11: Splitfed learning for smart grids
Chapter 12: Splitfed learning for smart agriculture
Chapter 13: A case study on splitfed learning implementation
Chapter 14: Conclusion and future directions
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
SplitFed; SplitFed learning; internet of things; ubiquitous intelligence; machine learning; deep learning; artificial intelligence; AI; privacy; security; affordable AI; internet of things architectures; internet of things applications; natural language processing; recommendation systems; healthcare systems; emotion detection; smart agriculture; smart transportation; smart cities
Chapter 1: Introduction to federated learning, split learning and splitfed learning
Chapter 2: Splitfed learning processing for IoT and Big Data applications
Chapter 3: Blockchain-driven splitfed learning for data protection in IoT setting
Chapter 4: Splitfed learning methods for natural language processing
Chapter 5: The role of splitfed learning in recommendation systems
Chapter 6: Reconfigurable intelligent surface (RIS)-inspired splitfed learning for over-the-air
Chapter 7: Enhancing computational performance in healthcare through federated learning approach
Chapter 8: Splitfed learning for multimodal emotion detection
Chapter 9: Split federated learning-based educational data analysis
Chapter 10: Splitfed learning for smart transportation
Chapter 11: Splitfed learning for smart grids
Chapter 12: Splitfed learning for smart agriculture
Chapter 13: A case study on splitfed learning implementation
Chapter 14: Conclusion and future directions
Chapter 2: Splitfed learning processing for IoT and Big Data applications
Chapter 3: Blockchain-driven splitfed learning for data protection in IoT setting
Chapter 4: Splitfed learning methods for natural language processing
Chapter 5: The role of splitfed learning in recommendation systems
Chapter 6: Reconfigurable intelligent surface (RIS)-inspired splitfed learning for over-the-air
Chapter 7: Enhancing computational performance in healthcare through federated learning approach
Chapter 8: Splitfed learning for multimodal emotion detection
Chapter 9: Split federated learning-based educational data analysis
Chapter 10: Splitfed learning for smart transportation
Chapter 11: Splitfed learning for smart grids
Chapter 12: Splitfed learning for smart agriculture
Chapter 13: A case study on splitfed learning implementation
Chapter 14: Conclusion and future directions
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
SplitFed; SplitFed learning; internet of things; ubiquitous intelligence; machine learning; deep learning; artificial intelligence; AI; privacy; security; affordable AI; internet of things architectures; internet of things applications; natural language processing; recommendation systems; healthcare systems; emotion detection; smart agriculture; smart transportation; smart cities
