Fields of Activity / Competences
- Machine Learning
- Large Scale Machine Learning
- Deep Learning
- Ensemble Methods
- Pattern Recognition
- Parallelization
Publications
Major Publications
- Keuper, J.; Pfreundt, F.-J.:
Distributed training of deep neural networks: theoretical and practical limits of parallel scalability.
Proceedings of the Workshop on Machine Learning in High Performance Computing Environments (MLHPC '16), IEEE Press, Piscataway, NJ, USA, 19-26. DOI: https://doi.org/10.1109/MLHPC.2016.6, (2016). - Keuper, J.; Pfreundt, F.-J.:
Asynchronous Parallel Stochastic Gradient Descent: A Numeric Core for calable Distributed Machine Learning Algorithms.
Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments; doi.acm.org/10.1145/2834892.2834893, isbn 978-1-4503-4006-9, publisher ACM. - Keuper, J.:
Balancing the Communication Load of Asynchronously Parallelized Machine Learning Algorithms.
Journal CoRR, volume abs/1510.01155, (2015).