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 …

Federated learning meets blockchain in edge computing: Opportunities and challenges

DC Nguyen, M Ding, QV Pham… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …

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 …

Drones' edge intelligence over smart environments in B5G: Blockchain and federated learning synergy

SH Alsamhi, FA Almalki, F Afghah… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge Intelligence is an emerging technology which has attracted significant attention. It
applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth …

Two-layered blockchain architecture for federated learning over the mobile edge network

L Feng, Z Yang, S Guo, X Qiu, W Li, P Yu - IEEE network, 2021 - ieeexplore.ieee.org
Federated learning (FL) is seen as a road toward privacy-preserving distributed artificial
intelligence while keeping raw training data on local devices. By leveraging blockchain, this …

Lightweight digital twin and federated learning with distributed incentive in air-ground 6G networks

W Sun, S Lian, H Zhang, Y Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The sixth-generation (6G) wireless network is conceptualized to provide ubiquitous and
reliable network access through effective inter-networking among space, air, and terrestrial …

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 …

A survey on federated learning and its applications for accelerating industrial internet of things

J Zhou, S Zhang, Q Lu, W Dai, M Chen, X Liu… - arXiv preprint arXiv …, 2021 - arxiv.org
Federated learning (FL) brings collaborative intelligence into industries without centralized
training data to accelerate the process of Industry 4.0 on the edge computing level. FL …

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 …

Fusion of federated learning and industrial Internet of Things: A survey

P Boobalan, SP Ramu, QV Pham, K Dev, S Pandya… - Computer Networks, 2022 - Elsevier
Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …