Cross-Silo, Privacy-Preserving, and Lightweight Federated Multimodal System for the Identification of Major Depressive Disorder Using Audio and Electroencephalogram

Cross-Silo, Privacy-Preserving, and Lightweight Federated Multimodal System for the Identification of Major Depressive Disorder Using Audio and Electroencephalogram

In this day and age, depression is still one of the biggest problems in the world. If left untreated, it can lead to suicidal thoughts and attempts. There is a need for proper diagnoses of Major Depressive Disorder (MDD) and evaluation of the early stages to stop the side effects. Early detection is...

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Bibliographic Details
Main Authors: Chetna Gupta, Vikas Khullar, Nitin Goyal, Kirti Saini, Ritu Baniwal, Sushil Kumar, Rashi Rastogi
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Diagnostics
Subjects:
major depressive disorder
federated learning
deep learning
Bi-LSTM
IIDs
non-IIDs
Online Access:https://www.mdpi.com/2075-4418/14/1/43

Internet

https://www.mdpi.com/2075-4418/14/1/43

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