12 citations · 45 across the 20 of their papers we have counts for
20 papers
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data
Xin Zhang, Minghong Fang, Zhuqing Liu +3
Federated learning (FL) has received a surge of interest in recent years thanks to its benefits in data privacy protection, efficient communication, and parallel data processing. A…
A-Optimal Split Questionnaire Designs for Multivariate Continuous Variables
Dae-Gyu Jang, Zhengyuan Zhu, Cindy Yu
A split questionnaire design (SQD), an alternative to full questionnaires, can reduce the response burden and improve survey quality. One can design a split questionnaire to reduce…
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
Xin Zhang, Jia Liu, Zhengyuan Zhu +1
Decentralized nonconvex optimization has received increasing attention in recent years in machine learning due to its advantages in system robustness, data privacy, and implementat…
A Geospatial Functional Model For OCO-2 Data with Application on Imputation and Land Fraction Estimation
Xinyue Chang, Zhengyuan Zhu, Xiongtao Dai +1
Data from NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite is essential to many carbon management strategies. A retrieval algorithm is used to estimate CO2 concentration usin…
Regularized Estimation in High-Dimensional Vector Auto-Regressive Models using Spatio-Temporal Information
Zhenzhong Wang, Abolfazl Safikhani, Zhengyuan Zhu +1
A Vector Auto-Regressive (VAR) model is commonly used to model multivariate time series, and there are many penalized methods to handle high dimensionality. However in terms of spa…
Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes
Jiaming Qiu, Xiongtao Dai, Zhengyuan Zhu
We consider the estimation of densities in multiple subpopulations, where the available sample size in each subpopulation greatly varies. This problem occurs in epidemiology, for e…