Spectre-Fed: Evolving Federated Edge Intelligence From FedEdge-ID to Robust-Private IoT Intrusion Detection via Hybrid Adversarial Training

The growing number of Internet of Things (IoT) devices requires decentralized Edge Intelligence solutions. As the current FL-based IDS systems are decentralized solutions for privacy protection, face two major problems: 1) network traffic manipulation through adversarial evasion attacks 2) privacy t...

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Egile Nagusiak:	Saeed Ullah, Junsheng WU, Mian Muhammad Kamal, Mohammed K. Alzaylaee, Mohammad Alibakhshikenari
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2026-01-01
Saila:	IEEE Open Journal of the Communications Society
Gaiak:	Federated learning differential privacy adversarial robustness network intrusion detection deep learning gradient perturbation
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/11397383/
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