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Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity

International Conference on Machine Learning (ICML), 2021

9 February 2021

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Papers citing "Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity"

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Title
Stochastic Primal-Dual Double Block-Coordinate for Two-way Partial AUC Maximization Linli Zhou Bokun Wang My T. Thai Tianbao Yang 133 0 0 28 May 2025
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 280 18 0 05 Oct 2023
Federated Conditional Stochastic OptimizationNeural Information Processing Systems (NeurIPS), 2023 Xidong Wu Jianhui Sun Zhengmian Hu Junyi Li Aidong Zhang Heng-Chiao Huang FedML 353 4 0 04 Oct 2023
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 183 13 0 06 Aug 2023
Federated Compositional Deep AUC MaximizationNeural Information Processing Systems (NeurIPS), 2023 Xinwen Zhang Yihang Zhang Tianbao Yang Richard Souvenir Hongchang Gao FedML 324 10 0 20 Apr 2023
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Le‐Yu Chen Haishan Ye Luo Luo 440 10 0 05 Dec 2022
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2022 Yeguang Qin Yilin Yang Zhiqi Guo Xin Yao Mingde Zhao Nei Kato 261 11 0 05 Dec 2022
Adaptive Federated Minimax Optimization with Lower ComplexitiesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Feihu Huang Xinrui Wang Junyi Li Songcan Chen FedML 283 5 0 14 Nov 2022
FeDXL: Provable Federated Learning for Deep X-Risk OptimizationInternational Conference on Machine Learning (ICML), 2022 Zhishuai Guo Rong Jin Jiebo Luo Tianbao Yang FedML 382 10 0 26 Oct 2022
$SAGDA: Achieving $\mathcal{O}(ε^{-2})$ Communication Complexity in Federated Min-Max Learning$ SAGDA: Achieving $\mathcal{O}(ε^{-2})$ Communication Complexity in Federated Min-Max Learning Haibo Yang Zhuqing Liu Xin Zhang Jia-Wei Liu FedML 219 0 0 02 Oct 2022
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization Le‐Yu Chen Luo Luo 298 11 0 11 Aug 2022
Optimizing Two-way Partial AUC with an End-to-end FrameworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Zhiyong Yang Qianqian Xu Shilong Bao Yuan He Xiaochun Cao Qingming Huang 185 25 0 23 Jun 2022
Anchor Sampling for Federated Learning with Partial Client ParticipationInternational Conference on Machine Learning (ICML), 2022 Feijie Wu Song Guo Zhihao Qu Shiqi He Ziming Liu Jing Gao FedML 193 21 0 13 Jun 2022
AUC Maximization in the Era of Big Data and AI: A SurveyACM Computing Surveys (ACM CSUR), 2022 Tianbao Yang Yiming Ying 395 250 0 28 Mar 2022
Federated Minimax Optimization: Improved Convergence Analyses and AlgorithmsInternational Conference on Machine Learning (ICML), 2022 Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 245 58 0 09 Mar 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence GuaranteeInternational Conference on Machine Learning (ICML), 2022 Dixian Zhu Gang Li Bokun Wang Xiaodong Wu Tianbao Yang 483 37 0 01 Mar 2022
Securing Federated Sensitive Topic Classification against Poisoning AttacksNetwork and Distributed System Security Symposium (NDSS), 2022 Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 245 15 0 31 Jan 2022
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 208 6 0 01 Nov 2021
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 158 2 0 29 May 2021
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 176 65 0 29 Mar 2021
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 AI4TS MedIm OOD 231 136 0 06 Dec 2020
FedEval: A Holistic Evaluation Framework for Federated Learning Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang FedML 178 15 0 19 Nov 2020