18 citations · 18 across the 2 of their papers we have counts for
3 papers
cs.LG2021
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices
Pavana Prakash, Jiahao Ding, Maoqiang Wu +3
Federated learning (FL), an emerging distributed machine learning paradigm, in conflux with edge computing is a promising area with novel applications over mobile edge devices. In…
cs.LG2020★ 18 cited
Evaluation of Inference Attack Models for Deep Learning on Medical Data
Maoqiang Wu, Xinyue Zhang, Jiahao Ding +4
Deep learning has attracted broad interest in healthcare and medical communities. However, there has been little research into the privacy issues created by deep networks trained f…
cs.CR2020
Differentially Private and Fair Classification via Calibrated Functional Mechanism
Jiahao Ding, Xinyue Zhang, Xiaohuan Li +3
Machine learning is increasingly becoming a powerful tool to make decisions in a wide variety of applications, such as medical diagnosis and autonomous driving. Privacy concerns re…