IoT intelligence empowered by end-edge-cloud orchestration
To support intelligent Internet of Things (IoT) applications, such as autonomous driving,
smart city surveillance, and virtual reality (VR)/augmented reality (AR), cloud services are …
smart city surveillance, and virtual reality (VR)/augmented reality (AR), cloud services are …
Lightweight federated learning for large-scale IoT devices with privacy guarantee
With the massive deployment of the Internet of Things (IoT) devices, many data analysis
applications emerge for the large amount of data accumulated by IoT. Federated learning …
applications emerge for the large amount of data accumulated by IoT. Federated learning …
A secure and privacy-preserving machine learning model sharing scheme for edge-enabled IoT
X Zhou, K Xu, N Wang, J Jiao, N Dong, M Han… - IEEE Access, 2021 - ieeexplore.ieee.org
With the popular use of IoT devices, edge computing has been widely applied in the Internet
of things (IoT) and regarded as a promising solution for its wide distribution, decentralization …
of things (IoT) and regarded as a promising solution for its wide distribution, decentralization …
Resource efficient federated deep learning for IoT security monitoring
Federated Learning (FL) uses a distributed Machine Learning (ML) concept to build a global
model using multiple local models trained on distributed edge devices. A disadvantage of …
model using multiple local models trained on distributed edge devices. A disadvantage of …
Federated learning based secured computational offloading in cyber-physical IoST systems
In the past years, there has been fast growth in various applications which generates
penetrating and personal information dependent on the Internet of things (IoT). The …
penetrating and personal information dependent on the Internet of things (IoT). The …
Efficient and secure deep learning inference in trusted processor enabled edge clouds
Edge intelligence has emerged as a prevalent enabling technology to support various
intelligent applications. Along with the prosperity, it also raises great concern on the security …
intelligent applications. Along with the prosperity, it also raises great concern on the security …
Machine learning in IoT security: Current solutions and future challenges
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …
impact on our lives. The participating nodes in IoT networks are usually resource …
Enhancing cyber security in IoT systems using FL-based IDS with differential privacy
Z Anastasakis, K Psychogyios… - 2022 Global …, 2022 - ieeexplore.ieee.org
Nowadays, IoT networks and devices exist in our everyday life, capturing and carrying
unlimited data. However, increasing penetration of connected systems and devices implies …
unlimited data. However, increasing penetration of connected systems and devices implies …
Trust trackers for computation offloading in edge-based IoT networks
Wireless Internet of Things (IoT) devices will be deployed to enable applications such as
sensing and actuation. These devices are typically resource-constrained and are unable to …
sensing and actuation. These devices are typically resource-constrained and are unable to …
Toward data security in edge intelligent IIoT
IIoT significantly improves industrial productivity and at the same time reduces
manufacturing costs. In order to satisfy the requirements in IIoT applications, such as …
manufacturing costs. In order to satisfy the requirements in IIoT applications, such as …