Optimization and Control

[11] Can primal methods outperform primal-dual methods in decentralized dynamic optimization?

Kun Yuan UCLA Wei Xu USTC Qing Ling SYSU

Optimization and Control mathscidoc:2004.27010

IEEE Transactions on Signal Processing, 2020
[ Download ] [ 2020-04-27 01:42:40 uploaded by qinglingustc ] [ 12 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[12] Federated variance-reduced stochastic gradient descent with robustness to Byzantine attacks

Zhaoxian Wu SYSU Qing Ling SYSU Tianyi Chen RPI Georgios Giannakis UMN

Optimization and Control mathscidoc:2004.27009

IEEE Transactions on Signal Processing, 2020
[ Download ] [ 2020-04-27 01:41:19 uploaded by qinglingustc ] [ 20 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[13] Communication-censored distributed stochastic gradient descent

Weiyu Li USTC Tianyi Chen RPI Liping Li USTC Zhaoxian Wu SYSU Qing Ling SYSU

Optimization and Control mathscidoc:2004.27008

IEEE Transactions on Neural Networks and Learning Systems, 2020
[ Download ] [ 2020-04-27 01:39:38 uploaded by qinglingustc ] [ 13 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[14] Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization

Xiao Wang University of Chinese Academy of Sciences Shiqian Ma University of California, Davis Donald Goldfarb Columbia University Wei Liu Tencent AI Lab

Optimization and Control mathscidoc:2004.27007

SIAM Journal on Optimization, 27, (2), 927-956, 2017.5
[ Download ] [ 2020-04-27 01:35:32 uploaded by concor123 ] [ 13 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[15] Communication-censored linearized ADMM for decentralized consensus optimization

Weiyu Li Yaohua Liu Zhi Tian Qing Ling

Optimization and Control mathscidoc:2004.27006

IEEE Transactions on Signal and Information Processing over Networks, 2020
[ Download ] [ 2020-04-27 01:27:53 uploaded by qinglingustc ] [ 12 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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