PRIVACY-PRESERVING CONSUMER-BEHAVIOR ANALYTICS ACROSS MULTI-STATE TELEMEDICINE: DIFFERENTIAL PRIVACY, K-ANONYMITY, AND FEDERATED GRADIENT AGGREGATION

This paper critically examines privacy-preserving consumer-behavior analytics within the expanding landscape of multi-state telemedicine. As digital healthcare platforms increasingly rely on behavioral insights to optimize patient engagement, predict adherence, and personalize care, protecting sensi...

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Principais autores:	Jennifer Amebleh, Deborah Abiojo Onoja
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Zibeline International 2025-09-01
coleção:	Acta Scientifica Malaysia
Assuntos:	privacy-preserving analytics telemedicine differential privacy k-anonymity federated learning multistate data governance
Acesso em linha:	https://actascientificamalaysia.com/archives/ASM/2asm2025/2asm2025-71-81.pdf
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