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...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Sanjoy Mondal, Taniya Ghosh, Abhishek Das
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Access
נושאים:	Accuracy cloud-edge federated transfer learning device heterogeneity IoMT user privacy
גישה מקוונת:	https://ieeexplore.ieee.org/document/11143151/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!