Category: Federated Learning
Affective Digital Twin: Advancements and Future Directions
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Affective Digital Twin Concept Affective Digital Twin (ADT) refers to a digital replica of an individual that encapsulates not only their physical state but also their cognitive and emotional characteristics. It builds upon affective computing (which enables machines to recognize and simulate human emotions) and digital twin technology (virtual models…
Federated Learning within the Hospital Network: How AffectLog sets a New Standard in Secure Data Aggregation for the Mental Health Monitoring of the Frontline Health workers
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In today’s data-driven landscape, healthcare data is a treasure trove of insights waiting to be unlocked—especially for large hospital networks. From predictive analytics in oncology to AI-based radiology, the potential for machine learning (ML) to enhance patient care is immense. Yet concerns around data privacy, complex regulatory requirements, and the…
