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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.

Head of Group

Sebastian Stich

Email

Address

Im Oberen Werk 1
66386 St. Ingbert (Germany)

Most Recent Publications

Year 2026

Conference / Medium

International Conference on Machine Learning (ICML)
Enhancing LLM Training via Spectral Clipping

Conference / Medium

Conference on Learning Theory (COLT)
On the Stability of Nonlinear Dynamics in GD and SGD: Beyond Quadratic Potentials

Conference / Medium

International Conference on Artificial Intelligence and Statistics (AISTATS)
Accelerated Distributed Optimization with Compression and Error Feedback

Conference / Medium

International Conference on Artificial Intelligence and Statistics (AISTATS)
Accelerated Distributed Optimization with Compression and Error Feedback

Conference / Medium

International Conference on Learning Representations (ICLR)
Composite Optimization with Error Feedback: the Dual Averaging Approach