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 …

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 …

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 …

Fusion of federated learning and industrial internet of things: a survey

QV Pham, K Dev, PKR Maddikunta… - arXiv preprint arXiv …, 2021 - arxiv.org
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 factories use …

Realizing the heterogeneity: A self-organized federated learning framework for IoT

J Pang, Y Huang, Z Xie, Q Han… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The ubiquity of devices in Internet of Things (IoT) has opened up a large source for IoT data.
Machine learning (ML) models with big IoT data is beneficial to our daily life in monitoring air …

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 …

Resource allocation for latency-aware federated learning in industrial internet of things

W Gao, Z Zhao, G Min, Q Ni… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Federated learning (FL) has been employed for numerous privacy-sensitive applications,
where distributed devices collaboratively train a global model. In industrial Internet of things …

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 …

Socially-aware-clustering-enabled federated learning for edge networks

LU Khan, Z Han, D Niyato… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Edge Intelligence based on federated learning (FL) can be considered to be a promising
paradigm for many emerging, strict latency Internet of Things (IoT) applications. Furthermore …

Accelerating federated learning for iot in big data analytics with pruning, quantization and selective updating

W Xu, W Fang, Y Ding, M Zou, N Xiong - IEEE Access, 2021 - ieeexplore.ieee.org
The ever-increasing number of Internet of Things (IoT) devices are continuously generating
huge masses of data, but the current cloud-centric approach for IoT big data analysis has …