Mehdi Makni

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 …