Ababio, I.B.;                     Bieniek, J.;                     Rahouti, M.;                     Hayajneh, T.;                     Aledhari, M.;                     Verma, D.C.;                     Chehri, A.    
        A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT. Future Internet 2025, 17, 13.
    https://doi.org/10.3390/fi17010013
    AMA Style
    
                                Ababio IB,                                 Bieniek J,                                 Rahouti M,                                 Hayajneh T,                                 Aledhari M,                                 Verma DC,                                 Chehri A.        
                A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT. Future Internet. 2025; 17(1):13.
        https://doi.org/10.3390/fi17010013
    
    Chicago/Turabian Style
    
                                Ababio, Innocent Boakye,                                 Jan Bieniek,                                 Mohamed Rahouti,                                 Thaier Hayajneh,                                 Mohammed Aledhari,                                 Dinesh C. Verma,                                 and Abdellah Chehri.        
                2025. "A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT" Future Internet 17, no. 1: 13.
        https://doi.org/10.3390/fi17010013
    
    APA Style
    
                                Ababio, I. B.,                                 Bieniek, J.,                                 Rahouti, M.,                                 Hayajneh, T.,                                 Aledhari, M.,                                 Verma, D. C.,                                 & Chehri, A.        
        
        (2025). A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT. Future Internet, 17(1), 13.
        https://doi.org/10.3390/fi17010013