Leveraging Complex-Valued Federated Learning for Accurate and Privacy-Respectful Threat Detection Based on Millimeter-Wave Imaging
Millimeter-wave (MMW) radar systems are widely recognized for their affordability, safety, and effectiveness in concealed object (CO) detection. This paper introduces a novel high-resolution pseudo-image-based CO detection framework that leverages complex-valued convolutional neural networks (CV-CNN...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11015809/ |
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