2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ML2025
Federated Online Learning for Heterogeneous Multisource Streaming Data
Jingmao Li, Yuanxing Chen, Shuangge Ma +1
Federated learning has emerged as an essential paradigm for distributed multi-source data analysis under privacy concerns. Most existing federated learning methods focus on the ``s…
stat.ME2022★ 2 cited
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis
Yuanxing Chen, Qingzhao Zhang, Shuangge Ma +1
In diverse fields ranging from finance to omics, it is increasingly common that data is distributed and with multiple individual sources (referred to as ``clients'' in some studies…