Communication-Efficient Distributed Stochastic AUC Maximization with
Deep Neural Networks

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks

5 May 2020

Li Shen

Wei Liu

Papers citing "Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks"

12 / 12 papers shown

Title
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling Dixian Zhu Bokun Wang Zhi Chen Yaxing Wang Milan Sonka Xiaodong Wu Tianbao Yang 16 3 0 14 May 2023
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization Feihu Huang Chunyu Xuan Xinrui Wang Siqi Zhang Songcan Chen 28 7 0 07 Mar 2023
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems Hongchang Gao 18 16 0 06 Dec 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 47 8 0 26 Oct 2022
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm Huiyang Shao Qianqian Xu Zhiyong Yang Shilong Bao Qingming Huang 21 4 0 08 Oct 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 23 22 0 07 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 33 178 0 28 Mar 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 21 47 0 09 Mar 2022
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 24 3 0 01 Nov 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization Guanghui Wang Minghao Yang Lijun Zhang Tianbao Yang 36 22 0 02 Jul 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 11 58 0 18 Apr 2021
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization Siqi Zhang Junchi Yang Cristóbal Guzmán Negar Kiyavash Niao He 33 61 0 29 Mar 2021