Syed Sadiqur Rahman

Robust Adversarial Attack Detection in Resource-Constrained IoT Ecosystems: A Privacy-Preserving Framework Using Federated Learning

Federated Learning-Adaptive Gated Recurrent Unit is suggested, a Federated approach that combines a lightweight Gated Recurrent Unit (GRU) classifier with alternating adversarial fine-tuning on each client using FGSM and PGD, without any communication overhead, guaranteeing data-locality privacy through exchange of only model weights.