ExDRa: Exploratory Data Science on Federated Raw Data
Summary: ExDRa enables exploratory data science on federated raw data: ad-hoc integration, intermediates reuse, and lifecycle optimization for partially accessible data. It adds a federated SystemDS backend for linear algebra, PS, and data prep to enable enterprise federated ML and privacy-aware data management. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sebastian Baunsgaard
- 2. Matthias Boehm
- 3. Ankit Chaudhary
- 4. Behrouz Derakhshan
- 5. Stefan Geißelsöder
- 6. Philipp M. Grulich
- 7. Michael Hildebrand
- 8. Kevin Innerebner
- 9. Volker Markl
- 10. Claus Neubauer
- 11. Sarah Osterburg
- 12. Olga Ovcharenko
- 13. Sergey Redyuk
- 14. Tobias Rieger
- 15. Alireza Rezaei Mahdiraji
- 16. Sebastian Benjamin Wrede
- 17. Steffen Zeuch
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,306 | DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines | 2022 | CIDR | 4.7678574e-05 |
| 8,459 | Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs | 2024 | VLDB | 4.5065275e-05 |
| 8,514 | UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads | 2022 | VLDB | 4.4944285e-05 |
| 8,786 | AWARE: Workload-aware, Redundancy-exploiting Linear Algebra | 2023 | SIGMOD | 4.4521262e-05 |
| 9,323 | FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data | 2023 | SIGMOD | 4.3556432e-05 |
| 9,379 | GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example | 2023 | SIGMOD | 4.3462787e-05 |
| 10,274 | Incremental Stream Query Deployment under Continuous Infrastructure Changes in the Cloud-Edge Continuum | 2026 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 38 of 38 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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