3 papers
stat.ME2026
Distributed Prediction under Heterogeneity with Unidentifiable Parameter
Erbo Li, Zhaojun Hu, Ting Wei +2
Predicting a response based on covariates is a fundamental problem in statistics and machine learning. However, profound difficulties arise when the underlying low-dimensional stru…
stat.ML2025
Label-shift robust federated feature screening for high-dimensional classification
Qi Qin, Erbo Li, Xingxiang Li +3
Distributed and federated learning are important tools for high-dimensional classification of large datasets. To reduce computational costs and overcome the curse of dimensionality…
stat.ME2025
Distributed Reconstruction from Compressive Measurements: Nonconvexity and Heterogeneity
Erbo Li, Qi Qin, Yifan Sun +1
The compressive sensing (CS) and 1-bit CS demonstrate superior efficiency in signal acquisition and resource conservation, while 1-bit CS achieves maximum resource efficiency throu…