95 citations
- Shenzhen Technology UniversityCN7 papers
- Chang Gung Memorial HospitalTW6 papers
- Beijing University of Posts and TelecommunicationsCN5 papers
- National Institutes of Health Clinical CenterUS4 papers
- University of Science and Technology of ChinaCN4 papers
- Beijing Institute of TechnologyCN3 papers
- Johns Hopkins UniversityUS3 papers
- Alibaba Group (China)CN2 papers
- Association for Computing MachineryUS2 papers
- China Medical UniversityTW2 papers
- First Affiliated Hospital Zhejiang UniversityCN2 papers
- Huazhong University of Science and TechnologyCN2 papers
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2021★ 1 cited
Efficient Client Contribution Evaluation for Horizontal Federated Learning
Jie Zhao, Xinghua Zhu, Jianzong Wang +1
In federated learning (FL), fair and accurate measurement of the contribution of each federated participant is of great significance. The level of contribution not only provides a…
cs.LG2020★ 12 cited
Learning Graph Normalization for Graph Neural Networks
Yihao Chen, Xin Tang, Xianbiao Qi +2
Graph Neural Networks (GNNs) have attracted considerable attention and have emerged as a new promising paradigm to process graph-structured data. GNNs are usually stacked to multip…
cs.LG2020★ 3 cited
FedSmart: An Auto Updating Federated Learning Optimization Mechanism
Anxun He, Jianzong Wang, Zhangcheng Huang +1
Federated learning has made an important contribution to data privacy-preserving. Many previous works are based on the assumption that the data are independently identically distri…