20 citations · 22 across the 2 of their papers we have counts for
2 papers
cs.CR2019★ 2 cited
Towards Distributed Privacy-Preserving Prediction
Lingjuan Lyu, Yee Wei Law, Kee Siong Ng +4
In privacy-preserving machine learning, individual parties are reluctant to share their sensitive training data due to privacy concerns. Even the trained model parameters or predic…
quant-ph2017★ 20 cited
Modelling and Filtering for Non-Markovian Quantum Systems
Shibei Xue, Thien Nguyen, Matthew R. James +3
This paper presents an augmented Markovian system model for non-Markovian quantum systems. In this augmented system model, ancillary systems are introduced to play the role of inte…