Analyzing the security of e-Health data based on a hybrid federated learning model

Analyzing the security of e-Health data based on a hybrid federated learning model

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Shafin, Md. Mehtabul Islam, Akhter, Sabrin, Hasan, Mohammad Shafkat, Nasimuzzaman, Md., Prithul, Tamzeedur Rahman
مؤلفون آخرون: Zaman, Shakila
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2023
الموضوعات:
Federated learning
Machine learning
e-Health care
CNN
MLP
Random forest
Logistic regression
Medical informatics.
Medical telematics.
الوصول للمادة أونلاين:http://hdl.handle.net/10361/19294

الانترنت

http://hdl.handle.net/10361/19294

مواد مشابهة