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The proposed ResFL-UAV++ framework achieves over 98% accuracy in adversarial UAV detection while introducing less than 4% system overhead, and adversarial training using the Fast Gradient Sign Method (FGSM) enhances reliability and data confidentiality while incurring minimal computational overhead.
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