DQ0 Methodological Foundations Overview
While DQ0 started as a platform for privacy-preserving machine learning with Differential Privacy (DP), DQ0 does not rely on DP as such but is - as a platform for trustworthy analytics and Ethical AI - rather method and technology agnostic.
Privacy preserving technologies that are already integrated or on the roadmap for DQ0 are:
- Differential Private Machine Learning
- Differential Private SQL / Data Analysis
- Private Synthetic Data
- Federated Learning
- Federated Private SQL
- Homomorphic Encryption
- Secure Multi Party Computation
- Privacy Preserving Data Linkage
- Data Masking and Governance
- Data Lineage, Tracability and Audits
- Ethical AI Processes