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.

Bibliografiske detaljer
Main Authors:	Shafin, Md. Mehtabul Islam, Akhter, Sabrin, Hasan, Mohammad Shafkat, Nasimuzzaman, Md., Prithul, Tamzeedur Rahman
Andre forfattere:	Zaman, Shakila
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Federated learning Machine learning e-Health care CNN MLP Random forest Logistic regression Medical informatics. Medical telematics.
Online adgang:	http://hdl.handle.net/10361/19294

Lignende værker

eHealth research, theory, development : multi-disciplinary approach /
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Prediction of coronary heart diseases using supervised machine learning algorithms
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