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Alexander Erben
Alexander Erben
Dr. rer. nat, Research Engineer, FAIR
Verified email at meta.com
Title
Cited by
Cited by
Year
A Survey on Efficient Federated Learning Methods for Foundation Model Training
H Woisetschläger, A Erben, S Wang, R Mayer, HA Jacobsen
arXiv preprint arXiv:2401.04472, 2024
532024
Where Is My Training Bottleneck? Hidden Trade-offs in Deep Learning Preprocessing Pipelines
A Erben, R Mayer, J Jedele, HA Jacobsen
Proceedings of the 2022 International Conference on Management of Data, 1825 …, 2022
462022
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
H Woisetschläger, A Erben, S Wang, R Mayer, HA Jacobsen
Proceedings of the Eighth Workshop on Data Management for End-to-End Machine …, 2024
432024
Federated learning priorities under the european union artificial intelligence act
H Woisetschläger, A Erben, B Marino, S Wang, ND Lane, R Mayer, ...
arXiv preprint arXiv:2402.05968, 2024
272024
Predicting the In-Game Status in Soccer with Machine Learning Using Spatiotemporal Player Tracking Data
S Lang, R Wild, A Erben, D Link
Scientific Reports 12 (1), 16291, 2022
162022
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
A Erben, R Mayer, HA Jacobsen
Proceedings of the VLDB Endowment 17 (6), 1214-1226, 2024
132024
Fledge: Benchmarking federated learning applications in edge computing systems
H Woisetschläger, A Erben, R Mayer, S Wang, HA Jacobsen
Proceedings of the 25th International Middleware Conference, 88-102, 2024
122024
Federated learning priorities under the european union artificial intelligence act, 2024
H Woisetschläger, A Erben, B Marino, S Wang, ND Lane, R Mayer, ...
URL https://arxiv. org/abs/2402.05968, 0
6
Omnilingual ASR: Open-Source Multilingual Speech Recognition for 1600+ Languages
ASR Omnilingual, G Keren, A Kozhevnikov, Y Meng, C Ropers, M Setzler, ...
arXiv preprint arXiv:2511.09690, 2025
2025
Omnilingual ASR: Open-Source Multilingual Speech Recognition for 1600+ Languages
G Keren, A Kozhevnikov, Y Meng, C Ropers, M Setzler, S Wang, ...
arXiv e-prints, arXiv: 2511.09690, 2025
2025
Workshop on Collaborative and Federated Agentic Workflows (CFAgentic@ ICML’25)
A Erben, G Joshi, N Lane, H Sun, S Wang, H Woisetschläger
International Conference on Machine Learning, 2025
2025
Federated Learning is Needed to Overcome Key Challenges Arising from the European Union AI Act
H Woisetschläger, A Erben, B Marino, S Wang, ND Lane, R Mayer, ...
2025
Hardware Failures Won’t Limit AI Scaling
A Erben, E Erdil
Published online at epoch.ai (https://epoch.ai/blog/hardware-failures-wont …, 2024
2024
Performance Optimization in Deep Learning Systems
A Erben
Technische Universität München, 2024
2024
On Serving Image Classification Models
A González-Vidal, A Isenko, KR Jayaram
Proceedings of the 9th International Workshop on Serverless Computing, 48-52, 2023
2023
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Articles 1–15