Alexander Isenko

According to our database, Alexander Isenko authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey on Efficient Federated Learning Methods for Foundation Model Training.

Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen

CoRR, 2024

2023

Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly.

Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen

CoRR, 2023

FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems.

Herbert Woisetschläger, Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen

CoRR, 2023

How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study.

Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen

CoRR, 2023

On Serving Image Classification Models.

Aurora González-Vidal, Alexander Isenko, K. R. Jayaram

Proceedings of the 9th International Workshop on Serverless Computing, 2023

2022

Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines.

Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022