6 citations · 13 across the 7 of their papers we have counts for
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cs.LG2025★ 1 cited
One-shot Federated Learning Methods: A Practical Guide
Xiang Liu, Zhenheng Tang, Xia Li +6
One-shot Federated Learning (OFL) is a distributed machine learning paradigm that constrains client-server communication to a single round, addressing privacy and communication ove…
cs.LG2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
Xiang Liu, Liangxi Liu, Feiyang Ye +4
Efficiently aggregating trained neural networks from local clients into a global model on a server is a widely researched topic in federated learning. Recently, motivated by dimini…
cs.LG2017★ 4 cited
A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction
Wenting Ye, Xiang Liu, Tianwei Yue +1
While linear mixed model (LMM) has shown a competitive performance in correcting spurious associations raised by population stratification, family structures, and cryptic relatedne…