Distributed algorithms for composite optimization: Unified framework and convergence analysis J Xu, Y Tian, Y Sun, G Scutari IEEE Transactions on Signal Processing, 2021 | 83 | 2021 |
Achieving linear convergence in distributed asynchronous multi-agent optimization Y Tian, Y Sun, G Scutari IEEE Transactions on Automatic Control, 2020, 2020 | 74 | 2020 |
ASY-SONATA: Achieving linear convergence in distributed asynchronous multiagent optimization Y Tian, Y Sun, G Scutari 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 50 | 2018 |
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks J Xu, Y Tian, Y Sun, G Scutari 2020 23rd International Conference on Artificial Intelligence and Statistics, 2019 | 41 | 2019 |
Acceleration in distributed optimization under similarity Y Tian, G Scutari, T Cao, A Gasnikov International Conference on Artificial Intelligence and Statistics, 5721-5756, 2022 | 17 | 2022 |
A unified algorithmic framework for distributed composite optimization J Xu, Y Tian, Y Sun, G Scutari 2020 59th IEEE Conference on Decision and Control (CDC), 2309-2316, 2020 | 11 | 2020 |
Asynchronous Decentralized Successive Convex Approximation Y Tian, Y Sun, G Scutari arXiv preprint arXiv:1909.10144, 2019 | 10 | 2019 |
A unified contraction analysis of a class of distributed algorithms for composite optimization J Xu, Y Sun, Y Tian, G Scutari 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 8 | 2019 |
On coding capacity of delay-constrained network information flow: An algebraic approach M Chen, Y Tian, CC Wang 2016 IEEE International Symposium on Information Theory (ISIT), 2908-2912, 2016 | 3 | 2016 |
Distributed Optimization for Machine Learning: Guarantees and Tradeoffs Y Tian Purdue University, 2021 | 1 | 2021 |
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture Z Zhu, Y Tian, Y Huang, J Xu, S He arXiv preprint arXiv:2307.11617, 2023 | | 2023 |