ExDRa: Exploratory Data Science on Federated Raw Data

Citations

Showing 26 citing works with retrievable metadata.

• FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data
  Rui Fu, Yuncheng Wu, Quanqing Xu, et al. · 2023 · Proceedings of the ACM on Management of Data
• UPLIFT
  Arnab Phani, Lukas Erlbacher, Matthias Boehm · 2022 · Proceedings of the VLDB Endowment
• GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example
  Saeed Fathollahzadeh, Matthias Boehm · 2023 · Proceedings of the ACM on Management of Data
• Incremental Stream Query Deployment under Continuous Infrastructure Changes in the Cloud-Edge Continuum
  Ankit Chaudhary, Felix Lang, Danila Ferents, et al. · 2025 · Proceedings of the VLDB Endowment
• AWARE: Workload-aware, Redundancy-exploiting Linear Algebra
  Sebastian Baunsgaard, Matthias Boehm · 2023 · Proceedings of the ACM on Management of Data
• Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
  Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, et al. · 2024 · DEEM@SIGMOD
• Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques
  Matthias Boehm, Matteo Interlandi, Chris Jermaine · 2023 · SIGMOD Conference Companion
• BETZE: Benchmarking Data Exploration Tools with (Almost) Zero Effort
  Nico Schafer, Sebastian Michel · 2022 · 2022 IEEE 38th International Conference on Data Engineering (ICDE)
• Federated Data Preparation, Learning, and Debugging in Apache SystemDS
  Sebastian Baunsgaard, Matthias Boehm, Kevin Innerebner, et al. · 2022 · Proceedings of the 31st ACM International Conference on Information & Knowledge Management
• Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
  Woisetschläger, Herbert, Isenko, Alexander, Wang, Shiqiang, et al. · 2023 · arXiv (Cornell University)
• Chunk-oriented dimension ordering for efficient range query processing on sparse multidimensional data
  Shuai Han, Xianmin Liu, Jianzhong Li · 2022 · World Wide Web
• MulRF: A Multi-dimensional Range Filter for Sublinear Time Range Query Processing
  Shuai Han, Xianmin Liu, Jianzhong Li · 2024 · IEEE Transactions on Knowledge and Data Engineering
• Using and Enhancing NebulaStream - A Tutorial
  Steffen Zeuch, Ankit Chaudhary, Viktor Rosenfeld, et al. · 2024 · Distributed Event-Based Systems
• Lineage-based Reuse and Memory Management for Multi-backend ML Systems
  Arnab Phani, Matthias Boehm · 2026 · ACM SIGMOD Record
• Incremental Stream Query Placement and Deployment in Action
  Danila Ferents, Ankit Chaudhary, Felix Lang, et al. · 2026 · SIGMOD Companion
• FedPS: Federated data Preprocessing via aggregated Statistics
  Xuefeng Xu, G. Cormode · 2026 · arXiv.org
• SoK: Demystifying Privacy Enhancing Technologies Through the Lens of Software Developers
  Maisha Boteju, Thilina Ranbaduge, Dinusha Vatsalan, et al. · 2023 · arXiv.org
• Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs
  Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, et al. · 2023 · Proceedings of the VLDB Endowment
• Management of Machine Learning Lifecycle Artifacts
  Marius Schlegel, K. Sattler · 2022 · SIGMOD record
• NebulaStream: Data Management for the Internet of Things
  Steffen Zeuch, Xenofon Chatziliadis, Ankit Chaudhary, et al. · 2022 · Datenbank-Spektrum
• MEMPHIS: Holistic Lineage-based Reuse and Memory Management for Multi-backend ML Systems
  Arnab Phani, Matthias Boehm · 2025 · International Conference on Extending Database Technology
• Incremental SliceLine for Iterative ML Model Debugging under Updates
  Frederic Caspar Zoepffel, Christina Dionysio, Matthias Boehm · 2025 · Datenbanksysteme für Business, Technologie und Web
• DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines
  Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, et al. · 2022 · Conference on Innovative Data Systems Research
• Reproducibility Report for ACM SIGMOD 2021 Paper: “ExDRa: Exploratory Data Science on Federated Raw Data”
  Sebastian Baunsgaard, M. Hildebrand, Kevin Innerebner, et al. · 2022
• VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
  Jiawei Jiang, Lukas Burkhalter, Fangcheng Fu, et al. · 2022 · Neural Information Processing Systems
• A Systematic Literature Review on Data Integration: Issues, Data Types, Architecture
  Mimi Haryani Tasani, Mohd Kamir Yusof · 2026 · Journal of Computer Science