Privacy-Preserving Mental Health Analysis on Social Media Using Federated Deep Learning and Named Entity Recognition

The increasing prevalence of mental health disorders, alongside the ubiquity of social media platforms, offers a unique opportunity for early detection of psychological distress through the analysis of user-generated content. However, such analysis raises serious ethical and privacy concerns due to the sensitive nature of mental health data and the potential exposure of personally identifiable information (PII).