Infinidata Lab
ResearchProjectsPublicationsPeopleBlogEvents
Join us
All projects Synthetic data

SiloFuse

ICDE 2024 DiffusionPrivacy
Code

SiloFuse generates cross-silo synthetic tabular data using latent diffusion models, so organisations can share realistic data without ever exposing raw, feature-partitioned records.

Related publications

  • SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models · ICDE 2024
Infinidata Lab

Data-intensive systems research at TU Delft, Faculty of EEMCS · Web Information Systems.

Research
AI in Data Lakes Quantum Data Management
Explore
Projects Publications People Blog
Connect
LinkedIn GitHub Google Scholar R.Hai@tudelft.nl
© 2026 Infinidata Lab · Delft University of Technology