Privacy-Aware Federated Learning Framework for IoT Security Using Chameleon Swarm Optimization and Self-Attentive Variational Autoencoder

The Internet of Things (IoT) is emerging as an innovative phenomenon concerned with the development of numerous vital applications. With the development of IoT devices, huge amounts of information, including users’ private ... | Find, read and cite all the research you need on Tech Science Press

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Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2025-01-01
DOI
https://doi.org/10.32604/cmes.2025.062549
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00

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article

Privacy-Aware Federated Learning Framework for IoT Security Using Chameleon Swarm Optimization and Self-Attentive Variational Autoencoder

Saad Alahmari, Abdulwhab Alkharashi
1 links
Computer Modeling in Engineering & Sciences
Privacy-Preserving Technologies in Data
article

Privacy-Aware Federated Learning Framework for IoT Security Using Chameleon Swarm Optimization and Self-Attentive Variational Autoencoder

Saad Alahmari, Abdulwhab Alkharashi
article en

Abstract

The Internet of Things (IoT) is emerging as an innovative phenomenon concerned with the development of numerous vital applications. With the development of IoT devices, huge amounts of information, including users’ private ... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 143(1)
Northern Border University
Reduced inequalities
Openalex Percentile: Top 98%
Privacy-Preserving Technologies in Data
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Privacy-Aware Federated Learning Framework for IoT Security Using Chameleon Swarm Optimization and Self-Attentive Variational Autoencoder — Saad Alahmari, Abdulwhab Alkharashi · Computer Modeling in Engineering & Sciences (2025) | TGRS Research Map | TGRS