Adaptive federated learning and digital twin for industrial internet of things

W Sun, S Lei, L Wang, Z Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial Internet of Things (IoT) enables distributed intelligent services varying with the
dynamic and realtime industrial environment to achieve Industry 4.0 benefits. In this article …

Adaptive federated learning for digital twin driven industrial internet of things

Q Song, S Lei, W Sun, Y Zhang - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Industrial Internet of Things (IoT) enables distributed intelligent services varying with the
complex industrial environment to achieve the benefits of Industry 4.0. In this paper, we …

Optimizing federated learning with deep reinforcement learning for digital twin empowered industrial IoT

W Yang, W Xiang, Y Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The accelerated development of the Industrial Internet of Things (IIoT) is catalyzing the
digitalization of industrial production to achieve Industry 4.0. In this article, we propose a …

Communication-efficient federated learning for digital twin edge networks in industrial IoT

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of artificial intelligence and 5G paradigm, opens up new possibilities
for emerging applications in industrial Internet of Things (IIoT). However, the large amount of …

Management of digital twin-driven IoT using federated learning

S AbdulRahman, S Otoum, O Bouachir… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT), Digital Twin (DT), and Federated Learning (FL) are redefining the
future vision of globalization. While IoT is about sensing data from physical devices, DTs …

Low-latency federated learning with DNN partition in distributed industrial IoT networks

X Deng, J Li, C Ma, K Wei, L Shi… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed
intelligence of industrial automation thanks to its capability of distributed machine learning …

Optimizing federated learning in distributed industrial IoT: A multi-agent approach

W Zhang, D Yang, W Wu, H Peng… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
In this paper, we aim to make the best joint decision of device selection and computing and
spectrum resource allocation for optimizing federated learning (FL) performance in …

Reinforcing industry 4.0 with digital twins and blockchain-assisted federated learning

M Aloqaily, I Al Ridhawi… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has revolutionized the manufacturing process in the industry. It
has created a new ecosystem allowing a diversified set of devices to be controlled remotely …

Federated learning for industrial internet of things in future industries

DC Nguyen, M Ding, PN Pathirana… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) offers promising opportunities to revolutionize the
operation of industrial systems and become a key enabler of future industries. Recently …

Data heterogeneity-robust federated learning via group client selection in industrial IoT

Z Li, Y He, H Yu, J Kang, X Li, Z Xu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Nowadays, the Industrial Internet of Things (IIoT) has played an integral role in Industry 4.0
and produced massive amounts of data for industrial intelligence. These data locate on …