Dopamine: Differentially Private Federated Learning on Medical Data
- M. MalekzadehBurak HasirciogluN. MitalK. KataryaM. E. OzfaturaDeniz Gunduz
- 27 January 2021
Medicine, Computer Science
Dopamine is proposed, a system to train DNNs on distributed datasets, which employs federated learning with differentially-private stochastic gradient descent (DPSGD), and, in combination with secure aggregation, can establish a better trade-off between differential privacy (DP) guarantee and DNN's accuracy than other approaches.
Impact of performance and information feedback on medical interns' confidence–accuracy calibration
- J. StaalK. Katarya L. Zwaan
- 17 June 2023
Medicine
The results suggest that feedback is an effective intervention that could be beneficial as a tool to improve calibration, especially in cases that are not too difficult for learners.