On coding capacity of delay-constrained network information flow: An algebraic approach. - Minghua Chen 001; Ye Tian 021; Chih-Chun Wang (ISIT, 2016)

ASY-SONATA: Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. - Ye Tian 021; Ying Sun 003; Gesualdo Scutari (Allerton, 2018)

ASY-SONATA: Achieving Geometric Convergence for Distributed Asynchronous Optimization. - Ye Tian 021; Ying Sun 003; Bin Du; Gesualdo Scutari (CoRR, 2018)

A Unified Contraction Analysis of a Class of Distributed Algorithms for Composite Optimization. - Jinming Xu 002; Ying Sun 003; Ye Tian 021; Gesualdo Scutari (CAMSAP, 2019)

Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (AISTATS, 2020)

A Unified Algorithmic Framework for Distributed Composite Optimization. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (CDC, 2020)

Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (CoRR, 2020)

Achieving Linear Convergence in Distributed Asynchronous Multiagent Optimization. - Ye Tian 021; Ying Sun 003; Gesualdo Scutari (IEEE Trans. Autom. Control., 2020)

Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis. - Jinming Xu 002; Ye Tian 021; Ying Sun 003; Gesualdo Scutari (IEEE Trans. Signal Process., 2021)

Acceleration in Distributed Optimization under Similarity. - Ye Tian 021; Gesualdo Scutari; Tianyu Cao 005; Alexander V. Gasnikov (AISTATS, 2022)

Robust Fully-Asynchronous Methods for Distributed Training over General Architecture. - Zehan Zhu; Ye Tian 021; Yan Huang 036; Jinming Xu 002; Shibo He (CoRR, 2023)

R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking Over General Topology. - Zehan Zhu; Ye Tian 021; Yan Huang 036; Jinming Xu 002; Shibo He (IEEE Trans. Signal Inf. Process. over Networks, 2024)