Tag: Homomorphic Encryption
Hubs de recherche AffectLog : Faire progresser une IA digne de confiance
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Le programme de recherche d’AffectLog se situe à l’intersection de la confidentialité des données, de la conformité, des politiques et de la transparence. Chaque pôle thématique sert de plateforme pour des projets en cours, des jeux de données (lorsqu’ils sont publiquement partageables), des méthodes et des publications récentes. Ce document…
AL360°: Redefining Trust and Access in the Private Data Economy
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In a data-centric world marked by surging digital footprints and ever-tightening regulatory frameworks, enterprises, researchers, and policymakers face a critical dilemma: how to responsibly access and utilise sensitive, private data without breaching trust, security, or legal boundaries. This challenge is particularly pronounced in domains like healthcare, financial services, education, and…
PersonaCore: A Federated Neuromorphic Edge AI Platform for Privacy-Preserving Affective Digital Twins
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Abstract Affective Digital Twins (ADT) are virtual replicas of human emotional and cognitive states, enabling simulation and personalized AI interactions in human-centric applications. This paper presents AffectLog PersonaCore, a technical framework for implementing ADTs via a federated, privacy-preserving, neuromorphic computing platform. We detail how PersonaCore innovates on-device federated neuromorphic processing…
