Vajratiya Vajrobol1, Geetika Jain Saxena2, Amit Pundir2, Sanjeev Singh1, Akshat Gaurav3, Savi Bansal4,5, Razaz Waheeb Attar6, Mosiur Rahman7, Brij B. Gupta7,8,9,*
CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 49-90, 2025, DOI:10.32604/cmes.2024.056500
- 17 December 2024
Abstract Mental health is a significant issue worldwide, and the utilization of technology to assist mental health has seen a growing trend. This aims to alleviate the workload on healthcare professionals and aid individuals. Numerous applications have been developed to support the challenges in intelligent healthcare systems. However, because mental health data is sensitive, privacy concerns have emerged. Federated learning has gotten some attention. This research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare systems. It explores various dimensions of federated learning in mental health, such as More >
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