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Communication-Efficient Distributed Stochastic AUC Maximization with
  Deep Neural Networks
v1v2 (latest)

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks

International Conference on Machine Learning (ICML), 2020
5 May 2020
Zhishuai Guo
Mingrui Liu
Zhuoning Yuan
Li Shen
Wei Liu
Tianbao Yang
ArXiv (abs)PDFHTML

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

25 / 25 papers shown
Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two Formulations
Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two FormulationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Yangbangyan Jiang
Qianqian Xu
Huiyang Shao
Zhiyong Yang
Shilong Bao
Xiaochun Cao
Qingming Huang
160
0
0
01 Dec 2025
Federated Stochastic Minimax Optimization under Heavy-Tailed Noises
Federated Stochastic Minimax Optimization under Heavy-Tailed Noises
Xinwen Zhang
Hongchang Gao
FedML
446
1
0
06 Nov 2025
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Solving a Class of Non-Convex Minimax Optimization in Federated LearningNeural Information Processing Systems (NeurIPS), 2023
Xidong Wu
Jianhui Sun
Zhengmian Hu
Aidong Zhang
Heng-Chiao Huang
FedML
357
21
0
05 Oct 2023
Federated Conditional Stochastic Optimization
Federated Conditional Stochastic OptimizationNeural Information Processing Systems (NeurIPS), 2023
Xidong Wu
Jianhui Sun
Zhengmian Hu
Junyi Li
Aidong Zhang
Heng-Chiao Huang
FedML
479
4
0
04 Oct 2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative
  Imbalanced Data Mining
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data MiningKnowledge Discovery and Data Mining (KDD), 2023
Xidong Wu
Zhengmian Hu
Jian Pei
Heng Huang
250
13
0
06 Aug 2023
Faster Stochastic Algorithms for Minimax Optimization under Polyak--Łojasiewicz Conditions
Faster Stochastic Algorithms for Minimax Optimization under Polyak--Łojasiewicz ConditionsNeural Information Processing Systems (NeurIPS), 2023
Le‐Yu Chen
Boyuan Yao
Luo Luo
298
21
0
29 Jul 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
Provable Multi-instance Deep AUC Maximization with Stochastic PoolingInternational Conference on Machine Learning (ICML), 2023
Dixian Zhu
Bokun Wang
Zhi Chen
Yaxing Wang
Milan Sonka
Xiaodong Wu
Tianbao Yang
497
5
0
14 May 2023
Federated Compositional Deep AUC Maximization
Federated Compositional Deep AUC MaximizationNeural Information Processing Systems (NeurIPS), 2023
Xinwen Zhang
Yihang Zhang
Tianbao Yang
Richard Souvenir
Hongchang Gao
FedML
456
13
0
20 Apr 2023
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Feihu Huang
Chunyu Xuan
Xinrui Wang
Siqi Zhang
Songcan Chen
618
12
0
07 Mar 2023
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax
  Problems
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
Hongchang Gao
428
20
0
06 Dec 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
FeDXL: Provable Federated Learning for Deep X-Risk OptimizationInternational Conference on Machine Learning (ICML), 2022
Zhishuai Guo
Rong Jin
Jiebo Luo
Tianbao Yang
FedML
613
11
0
26 Oct 2022
Asymptotically Unbiased Instance-wise Regularized Partial AUC
  Optimization: Theory and Algorithm
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and AlgorithmNeural Information Processing Systems (NeurIPS), 2022
Huiyang Shao
Qianqian Xu
Zhiyong Yang
Shilong Bao
Qingming Huang
452
5
0
08 Oct 2022
SAGDA: Achieving $\mathcal{O}(ε^{-2})$ Communication Complexity
  in Federated Min-Max Learning
SAGDA: Achieving O(ε−2)\mathcal{O}(ε^{-2})O(ε−2) Communication Complexity in Federated Min-Max Learning
Haibo Yang
Zhuqing Liu
Xin Zhang
Jia-Wei Liu
FedML
348
0
0
02 Oct 2022
Enabling All In-Edge Deep Learning: A Literature Review
Enabling All In-Edge Deep Learning: A Literature ReviewIEEE Access (IEEE Access), 2022
Praveen Joshi
Mohammed Hasanuzzaman
Chandra Thapa
Haithem Afli
T. Scully
345
42
0
07 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A SurveyACM Computing Surveys (ACM CSUR), 2022
Tianbao Yang
Yiming Ying
556
294
0
28 Mar 2022
Federated Minimax Optimization: Improved Convergence Analyses and
  Algorithms
Federated Minimax Optimization: Improved Convergence Analyses and AlgorithmsInternational Conference on Machine Learning (ICML), 2022
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
427
62
0
09 Mar 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong
  Concavity
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
Junchi Yang
Antonio Orvieto
Aurelien Lucchi
Niao He
296
80
0
10 Dec 2021
Deep AUC Maximization for Medical Image Classification: Challenges and
  Opportunities
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
Tianbao Yang
314
6
0
01 Nov 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Guanghui Wang
Minghao Yang
Lijun Zhang
Tianbao Yang
319
22
0
02 Jul 2021
Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Optimization
Local AdaGrad-Type Algorithm for Stochastic Convex-Concave OptimizationMachine-mediated learning (ML), 2021
Luofeng Liao
Li Shen
Jia Duan
Mladen Kolar
Dacheng Tao
292
5
0
18 Jun 2021
CDMA: A Practical Cross-Device Federated Learning Algorithm for General
  Minimax Problems
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax ProblemsAAAI Conference on Artificial Intelligence (AAAI), 2021
Jiahao Xie
Chao Zhang
Zebang Shen
Weijie Liu
Hui Qian
FedML
306
2
0
29 May 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with
  Provable Convergence
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable ConvergenceNeural Information Processing Systems (NeurIPS), 2021
Qi Qi
Youzhi Luo
Zhao Xu
Shuiwang Ji
Tianbao Yang
701
68
0
18 Apr 2021
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization
The Complexity of Nonconvex-Strongly-Concave Minimax OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2021
Siqi Zhang
Junchi Yang
Cristóbal Guzmán
Negar Kiyavash
Niao He
244
68
0
29 Mar 2021
Federated Deep AUC Maximization for Heterogeneous Data with a Constant
  Communication Complexity
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication ComplexityInternational Conference on Machine Learning (ICML), 2021
Zhuoning Yuan
Zhishuai Guo
Yi Tian Xu
Yiming Ying
Tianbao Yang
FedML
390
37
0
09 Feb 2021
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and
  Empirical Studies on Medical Image Classification
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image ClassificationIEEE International Conference on Computer Vision (ICCV), 2020
Zhuoning Yuan
Yan Yan
Milan Sonka
Tianbao Yang
AI4TSMedImOOD
349
146
0
06 Dec 2020
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