A Systematic Review of Federated and Cloud Computing Approaches for Predicting Mental Health Risks.

ABSTRACT: Mental health disorders affect large numbers of people worldwide and are a major cause of long-term disability. Digital health technologies such as mobile apps and wearable devices now generate rich behavioural data that could support earlier detection and more personalised care. However, these data are highly sensitive and distributed across devices and platforms, which makes privacy protection and scalable analysis challenging; federated learning offers a way to train models across devices while keeping raw data local. When combined with edge, fog, or cloud computing, federated learning offers a way to support near-real-time mental health analysis while keeping raw data local. This review screened 1104 records, assessed 31 full-text articles using a five-question quality checklist, and r

SUBMITTER: Fiaz I 

PROVIDER: S-EPMC12788194 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature