Federated learning Peer-to-peer TEE Chaînes de Markov Data completeness Graph Access Control GDPR Distributed systems Personal Cloud Ontology Data center Deep learning Security Complexity 5G Markov chains Cloud personnel Resiliency Artificial intelligence Personal Data Management System Mobile crowd sensing Graph algorithms Electrical network flow Algorithmique des graphes Energy consumption Artificial malicious patterns Gamma dose rate Secure distributed computing Computational intelligence Algorithmique de graphes Big data Detection rules generation Data privacy Location privacy Algorithmic game theory Graph theory Machine Learning Air quality Game theory Distributed queries Anomaly detection Mobilité Data minimization Computational complexity Apprentissage automatique Database Secure aggregation Informed consent Complexité Algorithmique Formal models Machine learning Context acquisition Data Privacy Optimization Evolutionary algorithms Bayesian non-parametric Modélisation Extraction de connaissances Bi-level optimization Flash memory Radiation COVID-19 Clustering Data quality Data analytics Privacy Consent Data integration Activity recognition Trusted Execution Environment Healthcare Data science Big Data Edge computing Optimisation Consommation énergétique et performances Enumeration Data security Données RDF Contrôle d'accès Machine learning algorithms OppNet Performance evaluation Energy/Power consumption Forme produit pour la distribution stationnaire Early warning system Distributed computing Air quality monitoring Apprentissage par renforcement Multivariate Time Series Access control Centre de données Dynamic programming Graphes Modèles formels Sécurité Android malware detection Nash equilibria