Joint optimization of communication rates and linear systems. - Lin Xiao 003; Mikael Johansson; Haitam Hindi; Stephen P. Boyd; Andrea Goldsmith (CDC, 2001)

Joint Optimization of Wireless Communication and Networked Control Systems. - Lin Xiao 003; Mikael Johansson; Haitham A. Hindi; Stephen P. Boyd; Andrea J. Goldsmith (European Summer School on Multi-AgentControl, 2003)

Simultaneous routing and power allocation in CDMA wireless data networks. - Mikael Johansson; Lin Xiao 003; Stephen P. Boyd (ICC, 2003)

Joint optimization of communication rates and linear systems. - Lin Xiao 003; Mikael Johansson; Haitham A. Hindi; Stephen P. Boyd; Andrea Goldsmith (IEEE Trans. Autom. Control., 2003)

A decomposition approach to distributed analysis of networked systems. - Cedric Langbort; Lin Xiao 003; Raffaello D'Andrea; Stephen P. Boyd (CDC, 2004)

Fast linear iterations for distributed averaging. - Lin Xiao 003; Stephen P. Boyd (Syst. Control. Lett., 2004)

Fastest Mixing Markov Chain on a Graph. - Stephen P. Boyd; Persi Diaconis; Lin Xiao 003 (SIAM Rev., 2004)

Simultaneous routing and resource allocation via dual decomposition. - Lin Xiao 003; Mikael Johansson; Stephen P. Boyd (IEEE Trans. Commun., 2004)

A scheme for robust distributed sensor fusion based on average consensus. - Lin Xiao 003; Stephen P. Boyd; Sanjay Lall (IPSN, 2005)

Symmetry Analysis of Reversible Markov Chains. - Stephen P. Boyd; Persi Diaconis; Pablo A. Parrilo; Lin Xiao 003 (Internet Math., 2005)

Least-Squares Covariance Matrix Adjustment. - Stephen P. Boyd; Lin Xiao 003 (SIAM J. Matrix Anal. Appl., 2005)

A duality view of spectral methods for dimensionality reduction. - Lin Xiao 003; Jun Sun 003; Stephen P. Boyd (ICML, 2006)

A space-time diffusion scheme for peer-to-peer least-squares estimation. - Lin Xiao 003; Stephen P. Boyd; Sanjay Lall (IPSN, 2006)

The Fastest Mixing Markov Process on a Graph and a Connection to a Maximum Variance Unfolding Problem. - Jun Sun 003; Stephen P. Boyd; Lin Xiao 003; Persi Diaconis (SIAM Rev., 2006)

Fastest Mixing Markov Chain on a Path. - Stephen P. Boyd; Persi Diaconis; Jun Sun 003; Lin Xiao 003 (Am. Math. Mon., 2006)

Cross-layer optimization of wireless networks using nonlinear column generation. - Mikael Johansson; Lin Xiao 003 (IEEE Trans. Wirel. Commun., 2006)

Distributed average consensus with least-mean-square deviation. - Lin Xiao 003; Stephen P. Boyd; Seung-Jean Kim (J. Parallel Distributed Comput., 2007)

Fastest Mixing Markov Chain on Graphs with Symmetries. - Stephen P. Boyd; Persi Diaconis; Pablo A. Parrilo; Lin Xiao 003 (SIAM J. Optim., 2009)

Accelerated Bregman proximal gradient methods for relatively smooth convex optimization. - Filip Hanzely; Peter Richtárik; Lin Xiao 003 (Comput. Optim. Appl., 2021)

From Low Probability to High Confidence in Stochastic Convex Optimization. - Damek Davis; Dmitriy Drusvyatskiy; Lin Xiao 003; Junyu Zhang (J. Mach. Learn. Res., 2021)

MultiLevel Composite Stochastic Optimization via Nested Variance Reduction. - Junyu Zhang; Lin Xiao 003 (SIAM J. Optim., 2021)

Federated Learning with Partial Model Personalization. - Krishna Pillutla; Kshitiz Malik; Abdelrahman Mohamed; Michael G. Rabbat; Maziar Sanjabi; Lin Xiao 003 (ICML, 2022)

Stochastic variance-reduced prox-linear algorithms for nonconvex composite optimization. - Junyu Zhang; Lin Xiao 003 (Math. Program., 2022)

On self-concordant barriers for generalized power cones. - Scott Roy; Lin Xiao 003 (Optim. Lett., 2022)

FedShuffle: Recipes for Better Use of Local Work in Federated Learning. - Samuel Horváth; Maziar Sanjabi; Lin Xiao 003; Peter Richtárik; Michael G. Rabbat (Trans. Mach. Learn. Res., 2022)

Adaptive Stochastic Variance Reduction for Subsampled Newton Method with Cubic Regularization. - Junyu Zhang; Lin Xiao 003; Shuzhong Zhang (INFORMS J. Optim., 2022)

Stochastic Optimization with Decision-Dependent Distributions. - Dmitriy Drusvyatskiy; Lin Xiao 003 (Math. Oper. Res., 2023)