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 …

Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

Federated learning for green and sustainable 6G IIoT applications

VK Quy, DC Nguyen, D Van Anh, NM Quy - Internet of Things, 2024 - Elsevier
The 6th generation mobile network (6G) is expected to be launched in the early 2030s. The
architecture of 6G will be the convergence of space, air, ground, and undersea networks …

Byzantine-robust aggregation in federated learning empowered industrial iot

S Li, E Ngai, T Voigt - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Federated learning (FL) is a promising paradigm to empower on-device intelligence in
Industrial Internet of Things (IIoT) due to its capability of training machine learning models …

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 …

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 …

Federated learning for the internet of things: Applications, challenges, and opportunities

T Zhang, L Gao, C He, M Zhang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Billions of IoT devices will be deployed in the near future, taking advantage of faster Internet
speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the …

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 …

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 …

Resource optimizing federated learning for use with IoT: A systematic review

LGF da Silva, DFH Sadok, PT Endo - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract Recently, Federated Learning (FL) has been explored as a new paradigm that
preserves both data privacy and end-users knowledge while reducing latency during model …