Hybrid Privacy Preserving Federated Learning Against Irregular Users in Next-Generation Internet of Things

• Published in: Journal of systems architecture Vol. 148; p. 103088
• Main Authors: Yazdinejad, Abbas, Dehghantanha, Ali, Srivastava, Gautam, Karimipour, Hadis, Parizi, Reza M.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2024
• Subjects: Federated learning; NG-IoT; Privacy-preserving; TTHE; User dropout; Privacy-preserving; NG-IoT; TTHE; Federated learning; User dropout

While federated learning (FL) is a well-known privacy-preserving (PP) solution, recent studies demonstrate that it still has privacy problems and vulnerabilities, particularly in the context of the Next Generation Internet-of-Things (NG-IoT). Attackers on the server can potentially retrieve sensitiv...