60 citations · 159 across the 9 of their papers we have counts for
5 papers · 1 filter
MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare
Yiqiang Chen, Wang Lu, Xin Qin +2
Federated learning has attracted increasing attention to building models without accessing the raw user data, especially in healthcare. In real applications, different federations…
Personalized Federated Learning with Adaptive Batchnorm for Healthcare
Wang Lu, Jindong Wang, Yiqiang Chen +4
There is a growing interest in applying machine learning techniques to healthcare. Recently, federated learning (FL) is gaining popularity since it allows researchers to train powe…
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…
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…
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
Yiqiang Chen, Jindong Wang, Chaohui Yu +2
With the rapid development of computing technology, wearable devices such as smart phones and wristbands make it easy to get access to people's health information including activit…