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Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
4citations -
Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models2023 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access
Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci
0citations -
CAPTURE: Memory-Centric Partitioning for Distributed DNN Training with Hybrid Parallelism2023 IEEE International Conference on High Performance Computing, Data, and Analytics conference-paper Computer Science Parallel Computing and Optimization Techniques Open access
Henk Dreuning, Kees Verstoep, Henri E. Bal, Rob V. van Nieuwpoort
0citations -
Distributed Privacy-Preserving Data Analysis in NFDI4Health With the Personal Health Train2023 Proceedings of the Conference on Research Data Infrastructure conference-paper Computer Science Privacy-Preserving Technologies in Data Open access
Yongli Mou, Li Fei-Fei, Sven Weber, Sabith Haneef, Hans Meine, Liliana Caldeira, +7 more
2citations -
A Privacy-Preserving Distributed Analytics Platform for Health Care Data2022 Methods of Information in Medicine article Computer Science Privacy-Preserving Technologies in Data Open access
Sascha Welten, Yongli Mou, Laurenz Neumann, Mehrshad Jaberansary, Yeliz Yediel Ucer, Toralf Kirsten, +2 more
41citations -
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization2024 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access
Eric Wulff, Juan Pablo García Amboage, Marcel Aach, Þorsteinn Elí Gíslason, Thorsteinn Kristinn Ingolfsson, Tomas Kristinn Ingolfsson, +6 more
4citations -
Distributed Skin Lesion Analysis Across Decentralised Data Sources2021 Studies in health technology and informatics book-chapter Computer Science Privacy-Preserving Technologies in Data Open access
Yongli Mou, Sascha Welten, Mehrshad Jaberansary, Yeliz Üçer Yediel, Toralf Kirsten, Stefan Decker, +1 more
9citations -
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences2023 ACM/IEEE Joint Conference on Digital Libraries conference-paper Computer Science Privacy-Preserving Technologies in Data
Zeyd Boukhers, Arnim Bleier, Yeliz Üçer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Sascha Welten, +2 more
1citations -
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access
Zeyd Boukhers, Arnim Bleier, Yeliz Üçer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Adamantios Koumpis, +1 more
0citations -
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan
0citations -
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan
0citations