Communication-efficient federated learning and permissioned blockchain for digital twin edge networks

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Emerging technologies, such as mobile-edge computing (MEC) and next-generation
communications are crucial for enabling rapid development and deployment of the Internet …
被引用次数：213 相关文章 所有 2 个版本
[PDF] arxiv.org

Low-latency federated learning and blockchain for edge association in digital twin empowered 6G networks

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Emerging technologies, such as digital twins and 6th generation (6G) mobile networks, have
accelerated the realization of edge intelligence in industrial Internet of Things (IIoT). The …
被引用次数：373 相关文章 所有 4 个版本

Cooperative federated learning and model update verification in blockchain-empowered digital twin edge networks

L Jiang, H Zheng, H Tian, S Xie… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT), the digital twin is emerging as one of
the most promising technologies to connect physical components with digital space for …
被引用次数：56 相关文章 所有 2 个版本

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 …
被引用次数：205 相关文章 所有 2 个版本

A blockchain-based model migration approach for secure and sustainable federated learning in iot systems

C Zhang, Y Xu, H Elahi, D Zhang, Y Tan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Model migration can accelerate model convergence during federated learning on the
Internet of Things (IoT) devices and reduce training costs by transferring feature extractors …
被引用次数：26 相关文章 所有 2 个版本

Distance-aware hierarchical federated learning in blockchain-enabled edge computing network

X Huang, Y Wu, C Liang, Q Chen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Federated learning (FL) has been proposed as an emerging paradigm to perform privacy-
preserving distributed machine learning in the Internet of Things (IoT). However, the …
被引用次数：13 相关文章

Optimizing task assignment for reliable blockchain-empowered federated edge learning

J Kang, Z Xiong, X Li, Y Zhang, D Niyato… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
A rapid-growing machine learning technique called federated edge learning has emerged to
allow a massive number of edge devices (eg smart phones) to collaboratively train globally …
被引用次数：66 相关文章

Dual-driven resource management for sustainable computing in the blockchain-supported digital twin IoT

D Wang, B Li, B Song, Y Liu… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Nowadays, emerging sixth-generation (6G) mobile networks, the Internet of Things (IoT),
and mobile-edge computing (MEC) technologies have played significant roles in developing …
被引用次数：26 相关文章 所有 2 个版本

Blockchain and federated learning for privacy-preserved data sharing in industrial IoT

Y Lu, X Huang, Y Dai, S Maharjan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The rapid increase in the volume of data generated from connected devices in industrial
Internet of Things paradigm, opens up new possibilities for enhancing the quality of service …
被引用次数：970 相关文章 所有 2 个版本

Blockchain-enhanced federated learning market with social internet of things

P Wang, Y Zhao, MS Obaidat, Z Wei… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
The machine learning performance usually could be improved by training with massive data.
However, requesters can only select a subset of devices with limited training data to execute …
被引用次数：18 相关文章