Uncertainty Quantification in Machine Learning: Federated Conformal Prediction

Uncertainty Quantification in Machine Learning: Federated Conformal Prediction

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.