P. G. Jeba Leelipushpam

ResFL-UAV++ for robust and resource-constrained secure federated learning with adversarial defense in UAV systems

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.