2 papers
cs.LG2024
A Survey on Efficient Federated Learning Methods for Foundation Model Training
Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang +2
Federated Learning (FL) has become an established technique to facilitate privacy-preserving collaborative training across a multitude of clients. However, new approaches to FL oft…
cs.LG2024
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
Alexander Erben, Ruben Mayer, Hans-Arno Jacobsen
This paper aims to answer the question: Can deep learning models be cost-efficiently trained on a global market of spot VMs spanning different data centers and cloud providers? To…