Uncertainty Quantification in Machine Learning: Federated Conformal Prediction

Explore uncertainty quantification in machine learning through this 56-minute lecture on Federated Conformal Prediction, delivered by Vincent Plassier at the Institut des Hautes Etudes Scientifiques (IHES). Gain insights into advanced techniques for assessing and managing uncertainty in federated learning environments, enhancing the reliability and interpretability of machine learning models.