Tackling Heterogeneity in Intelligent Internet of Medical Things Applications Through Federated Transformer Regularization

In the conventional Internet of Medical Things (IoMT) system, patient data shared by the IoMT devices are susceptible and confidential and can be exposed to the antagonist. Hence, federated learning (FL) has become a promising solution for preserving the privacy of patient data. However, various com...

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Autors principals:	Sanjoy Mondal, Taniya Ghosh, Abhishek Das
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Accuracy cloud-edge federated transfer learning device heterogeneity IoMT user privacy
Accés en línia:	https://ieeexplore.ieee.org/document/11143151/
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