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 …
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 …
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 …
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 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 …
Federated reinforcement learning-based resource allocation for D2D-aided digital twin edge networks in 6G industrial IoT
The sixth generation (6G) is conceived to address the expected high level of requirements
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
Federated learning for industrial internet of things in future industries
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 …
operation of industrial systems and become a key enabler of future industries. Recently …
Low-latency federated learning with DNN partition in distributed industrial IoT networks
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed
intelligence of industrial automation thanks to its capability of distributed machine learning …
intelligence of industrial automation thanks to its capability of distributed machine learning …
DRL-based joint resource allocation and device orchestration for hierarchical federated learning in NOMA-enabled industrial IoT
Federated learning (FL) provides a new paradigm for protecting data privacy in Industrial
Internet of Things (IIoT). To reduce network burden and latency brought by FL with a …
Internet of Things (IIoT). To reduce network burden and latency brought by FL with a …
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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