Browsing Computer Science & Engineering by Subject "Generative Adversarial Network (GAN)"

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    • FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning 

      Aliya, Tabassum; Erbad, Aiman; Lebda, Wadha; Mohamed, Amr; Guizani, Mohsen ( Elsevier , 2022 , Article)
      Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ...