8 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.CY2023
Towards clinical AI fairness: A translational perspective
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong +12
Artificial intelligence (AI) has demonstrated the ability to extract insights from data, but the issue of fairness remains a concern in high-stakes fields such as healthcare. Despi…
cs.LG2020★ 8 cited
A(DP)SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
Jie Xu, Wei Zhang, Fei Wang
As deep learning models are usually massive and complex, distributed learning is essential for increasing training efficiency. Moreover, in many real-world application scenarios li…
cs.LG2019
Federated Learning for Healthcare Informatics
Jie Xu, Benjamin S. Glicksberg, Chang Su +3
With the rapid development of computer software and hardware technologies, more and more healthcare data are becoming readily available from clinical institutions, patients, insura…