Navigating industry 5.0: A survey of key enabling technologies, trends, challenges, and opportunities
This century has been a major avenue for revolutionary changes in technology and industry.
Industries have transitioned towards intelligent automation, relying less on human …
Industries have transitioned towards intelligent automation, relying less on human …
Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future …
As an emerging technology, blockchain (BC) has been playing a promising role in today's
software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because …
software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because …
Internet of medical things and blockchain-enabled patient-centric agent through sdn for remote patient monitoring in 5g network
During the COVID-19 pandemic, there has been a significant increase in the use of internet
resources for accessing medical care, resulting in the development and advancement of the …
resources for accessing medical care, resulting in the development and advancement of the …
Advancing healthcare informatics for empowering privacy and security through federated learning paradigms
BSP Thummisetti, H Atluri - International Journal of Sustainable …, 2024 - ijsdcs.com
This research paper explores the transformative potential of federated learning in healthcare
informatics, focusing on its pivotal role in balancing advancements with privacy and security …
informatics, focusing on its pivotal role in balancing advancements with privacy and security …
In-network caching for ICN-based IoT (ICN-IoT): A comprehensive survey
The Internet of Things (IoT) has already emerged as one of the most popular directions in
today's information and communication technology (ICT) domain. With its advancement over …
today's information and communication technology (ICT) domain. With its advancement over …
Federated deep learning for smart city edge-based applications
Y Djenouri, TP Michalak, JCW Lin - Future Generation Computer Systems, 2023 - Elsevier
The growing quantities of data allow for advanced analysis. A prime example of it are smart
city applications with forecasting urban traffic flow as a key application. However, data …
city applications with forecasting urban traffic flow as a key application. However, data …
A review of secure federated learning: privacy leakage threats, protection technologies, challenges and future directions
L Ge, H Li, X Wang, Z Wang - Neurocomputing, 2023 - Elsevier
Advances in the new generation of Internet of Things (IoT) technology are propelling the
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
Federated learning for 5G base station traffic forecasting
Cellular traffic prediction is of great importance on the path of enabling 5G mobile networks
to perform intelligent and efficient infrastructure planning and management. However …
to perform intelligent and efficient infrastructure planning and management. However …
[HTML][HTML] 4sqr-code: A 4-state qr code generation model for increasing data storing capacity in the digital twin framework
Abstract Introduction The usage of Quick Response (QR) Codes has become widely popular
in recent years, primarily for immense electronic transactions and industry uses. The …
in recent years, primarily for immense electronic transactions and industry uses. The …
Affordable federated edge learning framework via efficient Shapley value estimation
Federated Learning (FL), as a privacy-preserving distributed machine learning paradigm,
has become a promising privacy computing framework for increasingly complex network …
has become a promising privacy computing framework for increasingly complex network …