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Paper accepted to DSML 2024
2024/05/02
TrustDDL: A Privacy-Preserving Byzantine-Robust Distributed Deep Learning Framework
Authors: René Klaus Nikiel, Meghdad Mirabi,Carsten Binnig
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Picture: Tobias Tiebes
Picture: Tobias TiebesFrom campus to the Arctic
2024/04/16
Results from a lab course organized by the Systems group are supporting polar research
The Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) operates aircraft to explore the Arctic and Antarctic. Students of computer science and cognitive science have developed software in the software development project as part of their bachelor's degree programme at TU Darmstadt that will make it easier to plan these flights in future.
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Paper accepted to DASFAA 2024
2024/04/10
Parallel Processing of Temporal Anti-Joins in Memory
Authors: Ioannis Reppas, Meghdad Mirabi, Leila Fathi, Carsten Binnig, Anton Dignös, and Johann Gamper
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Another paper accepted to ICDE 2024
2024/03/14
ZeroTune: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing
Authors: Pratyush Agnihotri, Boris Koldehofe, Paul Stiegele, Roman Heinrich, Carsten Binnig, Manisha Luthra
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Paper accepted to ICDE 2024
2024/03/14
COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments
Authors: Roman Heinrich, Carsten Binnig, Harald Kornmayer, Manisha Luthra
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Seminar series on the design of cooperative AI
2024/02/07
Seminar series continues
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Paper accepted to EDBT 2024
2024/02/02
Pythagoras: Semantic Type Detection of Numerical Data in Enterprise Data Lakes
Authors: Sven Langenecker, Christoph Sturm, Christian Schalles, Carsten Binnig
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Paper accepted to CIDR 2024
2023/12/14
CAESURA: Language Models as Multi-Modal Query Planners
Authors: Matthias Urban, Carsten Binnig
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Benjamin Hättasch is now a Doctor of Natural Sciences!
2023/12/12
On December 11, Benjamin Hättasch successfully defended his Ph.D. thesis titled Democratizing Information Access through Low Overhead Systems'. Congratulations, Dr. rer. nat. Hättasch!
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Three more papers published by Systems Group on Temporal Joins and Privacy Preserving Computation
2023/11/29
Find our work at SSTD 2023, CloudDB 2023, TrustKDD 2023.