Toward trustworthy and privacy-preserving federated deep learning service framework for industrial internet of things
In this article, we propose a trustworthy privacy-preserving federated learning (FL)-based
deep learning (DL) service framework for Industrial Internet of Things-enabled systems. FL …
deep learning (DL) service framework for Industrial Internet of Things-enabled systems. FL …
PCFed: Privacy-enhanced and communication-efficient federated learning for industrial IoTs
Q Han, S Yang, X Ren, P Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Federated learning (FL) is capable of analyzing tremendous data from smart edge devices
in Industrial Internet of Things (IIoTs), empowering numerous industrial applications …
in Industrial Internet of Things (IIoTs), empowering numerous industrial applications …
Privacy-Preserving and Traceable Federated Learning for data sharing in industrial IoT applications
Federated learning enables data owners to jointly train a neural network without sharing
their personal data, which makes it possible to share sensitive data generated from various …
their personal data, which makes it possible to share sensitive data generated from various …
Fusion of federated learning and industrial internet of things: a survey
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 …
paves an insight for new industrial era. Nowadays smart machines and smart factories use …
Fusion of federated learning and industrial Internet of Things: A survey
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 …
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …
Fedsyl: Computation-efficient federated synergy learning on heterogeneous iot devices
As a popular privacy-preserving model training technique, Federated Learning (FL) enables
multiple end-devices to collaboratively train Deep Neural Network (DNN) models without …
multiple end-devices to collaboratively train Deep Neural Network (DNN) models without …
Efficient and privacy-enhanced federated learning for industrial artificial intelligence
By leveraging deep learning-based technologies, industrial artificial intelligence (IAI) has
been applied to solve various industrial challenging problems in Industry 4.0. However, for …
been applied to solve various industrial challenging problems in Industry 4.0. However, for …
Asyfed: Accelerated federated learning with asynchronous communication mechanism
As a new distributed machine learning (ML) framework for privacy protection, federated
learning (FL) enables substantial Internet of Things (IoT) devices (eg, mobile phones …
learning (FL) enables substantial Internet of Things (IoT) devices (eg, mobile phones …
Distance-aware hierarchical federated learning in blockchain-enabled edge computing network
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 …
preserving distributed machine learning in the Internet of Things (IoT). However, the …
Towards communication-efficient and attack-resistant federated edge learning for industrial Internet of Things
Federated Edge Learning (FEL) allows edge nodes to train a global deep learning model
collaboratively for edge computing in the Industrial Internet of Things (IIoT), which …
collaboratively for edge computing in the Industrial Internet of Things (IIoT), which …