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Ye Tian
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Zitiert von
Jahr
Distributed algorithms for composite optimization: Unified framework and convergence analysis
J Xu, Y Tian, Y Sun, G Scutari
IEEE Transactions on Signal Processing, 2021
982021
Achieving linear convergence in distributed asynchronous multi-agent optimization
Y Tian, Y Sun, G Scutari
IEEE Transactions on Automatic Control, 2020, 2020
862020
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
562018
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
432019
Acceleration in distributed optimization under similarity
Y Tian, G Scutari, T Cao, A Gasnikov
International Conference on Artificial Intelligence and Statistics, 5721-5756, 2022
232022
Asynchronous Decentralized Successive Convex Approximation
Y Tian, Y Sun, G Scutari
arXiv preprint arXiv:1909.10144, 2019
132019
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
102020
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
82019
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
32016
R-FAST: Robust Fully-Asynchronous Stochastic Gradient Tracking over General Topology
Z Zhu, Y Tian, Y Huang, J Xu, S He
IEEE Transactions on Signal and Information Processing over Networks, 2024
1*2024
Distributed Optimization for Machine Learning: Guarantees and Tradeoffs
Y Tian
Purdue University, 2021
12021
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