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08/17/2022
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data
Federated learning (FL) has received a surge of interest in recent years...
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03/09/2022
A-Optimal Split Questionnaire Designs for Multivariate Continuous Variables
A split questionnaire design (SQD), an alternative to full questionnaire...
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05/04/2021
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
Decentralized nonconvex optimization has received increasing attention i...
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01/23/2021
A Geospatial Functional Model For OCO-2 Data with Application on Imputation and Land Fraction Estimation
Data from NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite is esse...
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12/18/2020
Regularized Estimation in High-Dimensional Vector Auto-Regressive Models using Spatio-Temporal Information
A Vector Auto-Regressive (VAR) model is commonly used to model multivari...
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12/18/2020
Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes
We consider the estimation of densities in multiple subpopulations, wher...
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07/20/2020
Variable Selection in Macroeconomic Forecasting with Many Predictors
In the data-rich environment, using many economic predictors to forecast...
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01/12/2020
Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach
With rise of machine learning (ML) and the proliferation of smart mobile...
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12/06/2019
Communication-Efficient Network-Distributed Optimization with Differential-Coded Compressors
Network-distributed optimization has attracted significant attention in ...
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06/05/2019
Spatial automatic subgroup analysis for areal data with repeated measures
We consider the subgroup analysis problem for spatial areal data with re...
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05/28/2019
Distributed Linear Model Clustering over Networks: A Tree-Based Fused-Lasso ADMM Approach
In this work, we consider to improve the model estimation efficiency by ...
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04/23/2019
Regression-Enhanced Random Forests
Random forest (RF) methodology is one of the most popular machine learni...
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04/23/2019
Identifying Precipitation Regimes in China Using Model-Based Clustering of Spatial Functional Data
The identification of precipitation regimes is important for many purpos...
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04/05/2019
Spatial CUSUM for Signal Region Detection
Detecting weak clustered signal in spatial data is important but challen...
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12/10/2018
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks
Network consensus optimization has received increasing attention in rece...
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05/24/2018
Taming Convergence for Asynchronous Stochastic Gradient Descent with Unbounded Delay in Non-Convex Learning
Understanding the convergence performance of asynchronous stochastic gra...
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05/09/2012
