A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer’s Disease

A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer’s Disease

Alzheimer’s disease (AD) is a progressive illness with a slow start that lasts many years; the disease’s consequences are devastating to the patient and the patient’s family. If detected early, the disease’s impact and prognosis can be altered significantly. Blood biosamples are often employed in si...

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Bibliographic Details
Main Authors: Kasem Khalil, Mohammad Mahbubur Rahman Khan Mamun, Ahmed Sherif, Mohamed Said Elsersy, Ahmad Abdel-Aliem Imam, Mohamed Mahmoud, Maazen Alsabaan
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
Alzheimer’s disease
hardware acceleration
blood bio-samples
federated learning
early diagnosis
Online Access:https://www.mdpi.com/1424-8220/23/19/8272

Internet

https://www.mdpi.com/1424-8220/23/19/8272

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