Resources-efficient Adaptive Federated Learning for Digital Twin-Enabled IIoT
Digital twin (DT) can bridge the physical status with the virtual space in real-time for the
Industrial Internet of Things (IIoT), where the integration of federated learning (FL) with DT …
Industrial Internet of Things (IIoT), where the integration of federated learning (FL) with DT …
Client selection and resource allocation for federated learning in digital-twin-enabled industrial Internet of Things
The technological advancements in digital twins (DTs) and next-generation networks boost
the development of the Industrial Internet of Things (IIoT). However, the increasing concern …
the development of the Industrial Internet of Things (IIoT). However, the increasing concern …
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 …
digitalization of industrial production to achieve Industry 4.0. In this article, we propose a …
Management of digital twin-driven IoT using federated learning
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 …
future vision of globalization. While IoT is about sensing data from physical devices, DTs …
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 …
for emerging applications in industrial Internet of Things (IIoT). However, the large amount of …
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 …
dynamic and realtime industrial environment to achieve Industry 4.0 benefits. In this article …
Energy-efficient federated learning framework for digital twin-enabled industrial internet of things
The digital twin (DT) bridges the physical world with the digital world in real-time for the
Industrial Internet of Things (IIoT) and federated learning (FL) enables edge intelligence …
Industrial Internet of Things (IIoT) and federated learning (FL) enables edge intelligence …
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 …
complex industrial environment to achieve the benefits of Industry 4.0. In this paper, we …
Communication-Efficient Personalized Federated Learning for Digital Twin in Heterogeneous Industrial IoT
Z Wang, X Ma, H Zhang, D Yuan - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
As an up-coming digitalization technology, the digital twin (DT) offers a viable
implementation for dynamic perception and intelligent decision-making in the industrial IoT …
implementation for dynamic perception and intelligent decision-making in the industrial IoT …
Optimizing federated learning in distributed industrial IoT: A multi-agent approach
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 …
spectrum resource allocation for optimizing federated learning (FL) performance in …
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