Éric Moulines

Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems

2022 · HAL (Le Centre pour la Communication Scientifique Directe)

International audience

Conformal Prediction for Federated Uncertainty Quantification Under Label Shift

2023 · arXiv (Cornell University)

Federated Learning (FL) is a machine learning framework where many clients collaboratively train models while keeping the training data decentralized. Despite recent advances in FL, the uncertainty quantification topic (UQ) remains partially addressed. Among UQ …