Adaptive Federated Learning and Digital Twin for Industrial Internet of Things

10/25/2020
by   Wen Sun, et al.
3

Industrial Internet of Things (IoT) enables distributed intelligent services varying with the dynamic and realtime industrial devices to achieve Industry 4.0 benefits. In this paper, we consider a new architecture of digital twin empowered Industrial IoT where digital twins capture the characteristics of industrial devices to assist federated learning. Noticing that digital twins may bring estimation deviations from the actual value of device state, a trusted based aggregation is proposed in federated learning to alleviate the effects of such deviation. We adaptively adjust the aggregation frequency of federated learning based on Lyapunov dynamic deficit queue and deep reinforcement learning, to improve the learning performance under the resource constraints. To further adapt to the heterogeneity of Industrial IoT, a clustering-based asynchronous federated learning framework is proposed. Numerical results show that the proposed framework is superior to the benchmark in terms of learning accuracy, convergence, and energy saving.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/25/2020

Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework

Internet of Things (IoT) have widely penetrated in different aspects of ...
research
05/08/2023

Blockchained Federated Learning for Internet of Things: A Comprehensive Survey

The demand for intelligent industries and smart services based on big da...
research
04/26/2023

SMPC-based Federated Learning for 6G enabled Internet of Medical Things

Rapidly developing intelligent healthcare systems are underpinned by Six...
research
07/31/2021

Distributed Learning for Time-varying Networks: A Scalable Design

The wireless network is undergoing a trend from "onnection of things" to...
research
12/11/2020

FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT

The distributed denial of service (DDoS) attack is detrimental to the in...
research
11/14/2022

Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things

Enabled by the increasing availability of sensor data monitored from pro...
research
06/15/2022

Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI

The emerging industrial metaverses realize the mapping and expanding ope...

Please sign up or login with your details

Forgot password? Click here to reset