A structure-aware universal adversarial perturbation (SA-UAP) that leverages the spectral properties of the exposed linear operators in the edge-side subnetwork and is optimized to align with dominant singular directions of the accessible layers, thereby maximizing perturbation amplification through the front-end featu...
Yu-Chu Lin, Jin-Yu Tian, Wen-Bo Zhao et al.· IEEE Internet of Things Jour...· 0 citations
Federated Multi-Level Knowledge Distillation (FedMLKD), a novel framework that enables UAVs to exchange both logits and adaptively pooled intermediate features, is proposed, showing its ability to balance accuracy and efficiency, making it a practical candidate for real-time disaster mapping in bandwidth-constrained UA...
Ji-Jing Cai, Hui Zhang, W. Wang et al.· IEEE Transactions on Mobile...· 0 citations
Multi-site Industrial Internet of Things (IIoT) anomaly detection demands cross-site collaboration without sharing raw data. Federated learning enables such collaboration, yet existing methods overlook challenges unique to one-class detectors. We identify a structural conflict that, to our knowledge, has not been chara...
Qian-Qi Zhang, Ze-Ling Xu, W. Wang et al.· IEEE Transactions on Network...· 0 citations
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