39 citations · 44 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 5 cited
FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare
Yiqiang Chen, Wang Lu, Jindong Wang +1
The success of machine learning applications often needs a large quantity of data. Recently, federated learning (FL) is attracting increasing attention due to the demand for data p…
eess.SP2021
Cross-domain Activity Recognition via Substructural Optimal Transport
Wang Lu, Yiqiang Chen, Jindong Wang +1
It is expensive and time-consuming to collect sufficient labeled data for human activity recognition (HAR). Domain adaptation is a promising approach for cross-domain activity reco…
cs.LG2020★ 39 cited
FOCUS: Dealing with Label Quality Disparity in Federated Learning
Yiqiang Chen, Xiaodong Yang, Xin Qin +3
Ubiquitous systems with End-Edge-Cloud architecture are increasingly being used in healthcare applications. Federated Learning (FL) is highly useful for such applications, due to s…