Chen, L.;                     Zhang, W.;                     Dong, C.;                     Zhao, D.;                     Zeng, X.;                     Qiao, S.;                     Zhu, Y.;                     Tan, C.W.    
        FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation. Entropy 2024, 26, 96.
    https://doi.org/10.3390/e26010096
    AMA Style
    
                                Chen L,                                 Zhang W,                                 Dong C,                                 Zhao D,                                 Zeng X,                                 Qiao S,                                 Zhu Y,                                 Tan CW.        
                FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation. Entropy. 2024; 26(1):96.
        https://doi.org/10.3390/e26010096
    
    Chicago/Turabian Style
    
                                Chen, Leiming,                                 Weishan Zhang,                                 Cihao Dong,                                 Dehai Zhao,                                 Xingjie Zeng,                                 Sibo Qiao,                                 Yichang Zhu,                                 and Chee Wei Tan.        
                2024. "FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation" Entropy 26, no. 1: 96.
        https://doi.org/10.3390/e26010096
    
    APA Style
    
                                Chen, L.,                                 Zhang, W.,                                 Dong, C.,                                 Zhao, D.,                                 Zeng, X.,                                 Qiao, S.,                                 Zhu, Y.,                                 & Tan, C. W.        
        
        (2024). FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation. Entropy, 26(1), 96.
        https://doi.org/10.3390/e26010096