51 citations · 52 across the 4 of their papers we have counts for
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cs.LG2025
FedPURIN: Programmed Update and Reduced INformation for Sparse Personalized Federated Learning
Lunchen Xie, Zehua He, Qingjiang Shi
Personalized Federated Learning (PFL) has emerged as a critical research frontier addressing data heterogeneity issue across distributed clients. Novel model architectures and coll…
cs.LG2021★ 51 cited
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization
Lunchen Xie, Jiaqi Liu, Songtao Lu +2
XGBoost is one of the most widely used machine learning models in the industry due to its superior learning accuracy and efficiency. Targeting at data isolation issues in the big d…