3 papers
cs.LG2024
Active Learning for WBAN-based Health Monitoring
Cho-Chun Chiu, Tuan Nguyen, Ting He +3
We consider a novel active learning problem motivated by the need of learning machine learning models for health monitoring in wireless body area network (WBAN). Due to the limited…
cs.DC2024
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
Bing Luo, Wenli Xiao, Shiqiang Wang +2
Federated learning (FL) algorithms usually sample a fraction of clients in each round (partial participation) when the number of participants is large and the server's communicatio…
cs.LG2024
Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning
Chong Yu, Shuaiqi Shen, Shiqiang Wang +2
E-health allows smart devices and medical institutions to collaboratively collect patients' data, which is trained by Artificial Intelligence (AI) technologies to help doctors make…