Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data

no code implementations • 27 Oct 2019 • Sabri Boughorbel, Fethi Jarray, Neethu Venugopal, Shabir Moosa, Haithum Elhadi, Michel Makhlouf

We propose a new FL model called Federated Uncertainty-Aware Learning Algorithm (FUALA) that improves on Federated Averaging (FedAvg) in the context of EHR.

Federated Learning

Alternating Loss Correction for Preterm-Birth Prediction from EHR Data with Noisy Labels

no code implementations • 24 Nov 2018 • Sabri Boughorbel, Fethi Jarray, Neethu Venugopal, Haithum Elhadi

The network is alternately trained on epochs with the clean dataset with a simple cross-entropy loss and on next epoch with the noisy dataset and a loss corrected with the estimated corruption matrix.

De-identification