Navigating industry 5.0: A survey of key enabling technologies, trends, challenges, and opportunities

R Tallat, A Hawbani, X Wang… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
This century has been a major avenue for revolutionary changes in technology and industry.
Industries have transitioned towards intelligent automation, relying less on human …

Edge computing for real-time Internet of Things applications: Future internet revolution

NM Quy, LA Ngoc, NT Ban, NV Hau, VK Quy - Wireless Personal …, 2023 - Springer
Abstract The Internet of Things (IoT) is a concept that permits the integration of all objects
into an Internet environment. IoT has spawned numerous intelligent applications and …

AITel: eHealth augmented-intelligence-based telemedicine resource recommendation framework for IoT devices in smart cities

ST Ahmed, VV Kumar, JY Kim - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Telemedicine was introduced on connected IoT-based resource networking infrastructure.
With technological evolution and artificial intelligence, the framework has expanded the …

An edge-AI-enabled autonomous connected ambulance-route resource recommendation protocol (ACA-R3) for eHealth in smart cities

ST Ahmed, SM Basha… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The autonomous connected ambulance (ACA) has been an unprecedented necessity in the
demand–supply management sector of the healthcare sector. However, the traditional …

Iomt: A medical resource management system using edge empowered blockchain federated learning

T Muazu, M Yingchi, AU Muhammad… - … on Network and …, 2023 - ieeexplore.ieee.org
As data sharing on the Internet of Medical Things (IoMT) become more complicated, the
problems of divergent interests, unregulated policies, privacy and security, and the resource …

Secure and privacy-preserving decentralized federated learning for personalized recommendations in consumer electronics using blockchain and homomorphic …

BB Gupta, A Gaurav, V Arya - IEEE Transactions on Consumer …, 2023 - ieeexplore.ieee.org
Over the past few years, personalized recommendations have emerged as a fundamental
component of the consumer electronics sector. The rise of decentralized federated learning …

Building trusted federated learning: Key technologies and challenges

D Chen, X Jiang, H Zhong, J Cui - Journal of Sensor and Actuator …, 2023 - mdpi.com
Federated learning (FL) provides convenience for cross-domain machine learning
applications and has been widely studied. However, the original FL is still vulnerable to …

Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology

M Abd Elaziz, MAA Al‐qaness, A Dahou… - … : Data Mining and …, 2024 - Wiley Online Library
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …

Limitations and future aspects of communication costs in federated learning: A survey

M Asad, S Shaukat, D Hu, Z Wang, E Javanmardi… - Sensors, 2023 - mdpi.com
This paper explores the potential for communication-efficient federated learning (FL) in
modern distributed systems. FL is an emerging distributed machine learning technique that …

Comparative analysis between individual, centralized, and federated learning for smartwatch based stress detection

MA Fauzi, B Yang, B Blobel - Journal of Personalized Medicine, 2022 - mdpi.com
Machine learning has been proven to provide good performances on stress detection tasks
using multi-modal sensor data from a smartwatch. Generally, machine learning techniques …