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DP-FedHybrid: A Differentially Private Federated Stacking Framework Integrating Tree-Based and Transformer Models for Secure Heart Disease Prediction

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DP-FedHybrid: A Differentially Private Federated Stacking Framework Integrating Tree-Based and Transformer Models for Secure Heart Disease Prediction

Atta Ur Rahman et al · IEEE · 2026 · ISSN 2169-3536

Heart disease is rapidly increasing. For early and accurate prediction, advanced machine learning (ML) models are needed. However, the sensitive nature of clinical data, along with strict regulatory constraints, creates ...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

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Federated Primitive-Preserving Audio Transformers for Non-Identifiable Infant Cry Classification

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Federated Primitive-Preserving Audio Transformers for Non-Identifiable Infant Cry Classification

Geofrey Owino et al · IEEE · 2026 · ISSN 2169-3536

Infant cry paralinguistics provides a non-invasive signal for early assessment of physiological and affective states. Yet, most learning approaches implicitly assume that the mapping between acoustic patterns and semanti...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.

Open Access

Disponible en línea Ficha bibliográfica

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