Research Group
Stich
Optimization is at the heart of many machine learning algorithms. The focus of our research group is on fundamental research on optimization techniques for training machine learning models. The research topics include decentralized methods (collaborative learning, federated learning), but also adaptive stochastic methods, generalization performance, deep theory of deep learning, and privacy and security in machine learning.
