Papers by Anjali Ratnam

1 papers
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data (2026.acl-long)

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Challenge: Social media text data is often used to train machine learning models to identify users exhibiting high-risk mental health behaviors.
Approach: They apply federatedlearning and Differentially Private FL to two widely-studied mental health prediction tasks using social media text data.
Outcome: The proposed methods achieve comparable performance to centralized training on depression identification, but have a large performance-privacy trade-off even with low levels of noise.

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