A Vertical Heterogeneous Network (VHetNet)-Enabled Asynchronous Federated Learning-Based Anomaly Detection Framework for Ubiquitous IoT

A Vertical Heterogeneous Network (VHetNet)-Enabled Asynchronous Federated Learning-Based Anomaly Detection Framework for Ubiquitous IoT

Anomaly detection for the Internet of Things (IoT) is a major intelligent service required by many fields, including intrusion detection, state monitoring, device-activity analysis, and security supervision. However, the heterogeneous distribution of data and resource-constrained end nodes in ubiqui...

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Bibliographic Details
Main Authors: Weili Wang, Omid Abbasi, Halim Yanikomeroglu, Chengchao Liang, Lun Tang, Qianbin Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Anomaly detection
asynchronous federated learning
compound-action actor-critic
ubiquitous Internet of Things (IoT)
vertical heterogeneous network (VHetNet)
Online Access:https://ieeexplore.ieee.org/document/10354443/

Internet

https://ieeexplore.ieee.org/document/10354443/

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