3 papers
stat.ML2026
Decentralized EM Algorithm for Gaussian Mixtures under Data Heterogeneity and Partial Labeling
Xuetong Li, Shuyuan Wu, Bin Du +1
We systematically study several network-based Expectation-Maximization (EM) algorithms for the Gaussian mixture model within decentralized federated learning (DFL). Our theoretical…
stat.ME2024
Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition
Ziqian Lin, Danyang Huang, Ziyu Xiong +1
In the flourishing live streaming industry, accurate recognition of streamers' emotions has become a critical research focus, with profound implications for audience engagement and…
stat.ME2024
Privacy-Protected Spatial Autoregressive Model
Danyang Huang, Ziyi Kong, Shuyuan Wu +1
Spatial autoregressive (SAR) models are important tools for studying network effects. However, with an increasing emphasis on data privacy, data providers often implement privacy p…