We are InfiniData lab

Affiliated with TU Delft, the Netherlands, Infinidata Lab stands at the forefront of innovative data management technologies, blending the power of AI, Federated Learning, and Quantum Data Management to reshape the landscape of data analysis and security. AstroWind: Production-ready.
By focusing on these key areas, Infinidata Lab aims to redefine what's possible, making significant strides toward a future where data's full potential can be realized effectively, efficiently, and securely.

Philosophy: Simplicity, Best Practices and High Performance

What we focus on

Empowering the Future of Data, Today

AI in data lakes

Multimodal data & GPU acceleration

Federated Learning

Data privacy and security

Quantum Data Management

Data Management for Quantum Computing and Quantum Internet

Publications

Model Selection with Model Zoo via Graph Learning

Ziyu Li , Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai
In Proceedings of the 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024

Amalur: the Convergence of Data Integration and Machine Learning

Ziyu Li, Wenbo Sun, Danning Zhan, Yan Kang, Lydia Chen, Alessandro Bozzon, and Rihan Hai.
IEEE Transactions on Knowledge and Data Engineering (2024).

SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models

Aditya Shankar, Hans Brouwer, Rihan Hai, and Lydia Chen.
In Proceedings of the 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024

Find out more content in our Blog

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The digestion of our on-going projects

SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models

Privacy-preserving synthesis of feature-partitioned data

Amalur

The Convergence of Data Integration an Machin Learning