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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

Address

Stuhlsatzenhaus 5
66123 Saarbrücken (Germany)

Most Recent Publications

Year 2022

Conference / Medium

NeurIPS-W
openreviewNeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and Applications

Conference / Medium

NeurIPS
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)NeurIPS

Conference / Medium

NeurIPS
Advances in Neural Information Processing Systems 35 (NeurIPS 2022)NeurIPS

Conference / Medium

ICML
Proceedings of the 39th International Conference on Machine LearningInternational Conference on Machine Learning (ICML)

Conference / Medium

ICML
Proceedings of the 39th International Conference on Machine LearningInternational Conference on Machine Learning (ICML)