Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment

Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment

The Internet of Things (IoT) has transformed cyber-physical systems by enabling seamless connectivity and automation. However, IoT devices face resource constraints, making anomaly detection challenging. Traditional centralized approaches suffer from computational inefficiencies, increased latency,...

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Bibliographic Details
Main Authors: Aravam Babu, A. Bagubali
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Edge computing
federated learning
IoT environment
isolation forest
sailfish optimizer
Online Access:https://ieeexplore.ieee.org/document/10938074/
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https://ieeexplore.ieee.org/document/10938074/

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