ExDRa: Exploratory Data Science on Federated Raw Data

Author:

Baunsgaard Sebastian1,Boehm Matthias1,Chaudhary Ankit2,Derakhshan Behrouz3,Geißelsöder Stefan4,Grulich Philipp M.2,Hildebrand Michael4,Innerebner Kevin1,Markl Volker5,Neubauer Claus4,Osterburg Sarah6,Ovcharenko Olga1,Redyuk Sergey2,Rieger Tobias1,Rezaei Mahdiraji Alireza3,Wrede Sebastian Benjamin1,Zeuch Steffen3

Affiliation:

1. Graz University of Technology, Graz, Austria

2. Technische Universität Berlin, Berlin, Germany

3. DFKI GmbH, Berlin, Germany

4. Siemens AG, Erlangen, Germany

5. DFKI GmbH & Technische Universität Berlin, Berlin, Germany

6. Siemens AG, Berlin, Germany

Funder

German Federal Ministry for Economic Affairs and Energy

Austrian Federal Ministry for Climate Action Environment Energy Mobility Innovation and Technology

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Using and Enhancing NebulaStream - A Tutorial;Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems;2024-06-24

2. Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly;Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning;2024-06-09

3. Federated Data Preparation, Learning, and Debugging in Apache SystemDS;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

4. Chunk-oriented dimension ordering for efficient range query processing on sparse multidimensional data;World Wide Web;2022-09-09

5. UPLIFT;Proceedings of the VLDB Endowment;2022-07

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