Sirvi Autor "Tamm, Kristian" järgi

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SynthGuard: Scalable and Privacy-Preserving Synthetic Data Generation Workflow Framework
(Tartu Ülikool, 2025) Tamm, Kristian; Brito, Eduardo Ribas, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Synthetic data enables privacy-preserving data sharing, especially important in sensitive domains under strict regulations such as the GDPR. While demand for synthetic data generation (SDG) is growing, existing tools often lack scalability, integration, and usability. This thesis presents SynthGuard, a cloud-native workflow framework for scalable and secure synthetic data generation. Built using containerized microservices and Kubernetes orchestration, SynthGuard automates the deployment and management of complex data synthesis pipelines. Its modular design allows flexible integration of SDG tools, while abstracting infrastructure complexity. The framework was evaluated through use cases in EU-funded projects, showcasing reproducibility, scalability, and privacy compliance. SynthGuard simplifies the development and operation of synthetic data workflows, offering a practical foundation for responsible data ecosystems in both research and industry.