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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 -
Synthetic rainfall data generator development through decentralised model training2022 Journal of Hydrology article Environmental Science Hydrological Forecasting Using AI Open access
Sascha Welten, Adrian Holt, Julian Hofmann, Lennart Schelter, Elena‐Maria Klopries, Thomas Wintgens, +1 more
7citations -
Rare Diseases in Hospital Information Systems—An Interoperable Methodology for Distributed Data Quality Assessments2023 Methods of Information in Medicine article Health Professions Electronic Health Records Systems Open access
Kais Tahar, Yongli Mou, Raphael Verbuecheln, Holm Graeßner, Dagmar Krefting
13citations -
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 -
Capturing the Complex Relationship Between Internal and External Training Load: A Data-Driven Approach2023 International Journal of Sports Physiology and Performance article Medicine Sports Performance and Training Open access
Stephan van der Zwaard, Ruby Otter, Matthias Kempe, Arno Knobbe, Inge K. Stoter
10citations -
Endoscopic retrograde cholangiopancreatography training conditions, results from a pan‐European survey: Between vision and reality2024 United European Gastroenterology Journal article Medicine Surgical Simulation and Training Open access
Karim Hamesch, Oscar Cahyadi, Stavros Dimitriadis, Marcus Hollenbach, Pilar Acedo, Myriam Ayari, +36 more
5citations -
Points to consider: EULAR–UEMS standards for the training of European rheumatologists2023 Annals of the Rheumatic Diseases article Medicine Musculoskeletal Disorders and Rehabilitation Open access
Alessia Alunno, Tadej Avčin, Catherine Haines, Sofía Ramiro, Francisca Sivera, Sara Badreh, +17 more
5citations