Main quest: optimization for deep learning
My current PhD research at the University of Basel explores the training dynamics of deep learning models, stochastic optimization, and distributed optimization.
Cohort Squeeze
Joint work with Kai Yi, Igor Sokolov, and Peter Richtárik on getting more out of each client cohort in cross-device federated learning. Presented at the FL@FM workshop at NeurIPS 2024.
More experiments are loading
This archive will grow as projects become ready to share. In the meantime, find my code on GitHub or check the latest patch notes.