Huang, Xinmeng

18 publications

JMLR 2025 Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan

ICML 2024 Distributed Bilevel Optimization with Communication Compression Yutong He, Jie Hu, Xinmeng Huang, Songtao Lu, Bin Wang, Kun Yuan

ICLR 2024 Momentum Benefits Non-Iid Federated Learning Simply and Provably Ziheng Cheng, Xinmeng Huang, Pengfei Wu, Kun Yuan

NeurIPS 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding

ICMLW 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding

ICMLW 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding

NeurIPS 2024 SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan

ICLR 2024 Stochastic Controlled Averaging for Federated Learning with Communication Compression Xinmeng Huang, Ping Li, Xiaoyun Li

ICML 2023 Demystifying Disagreement-on-the-Line in High Dimensions Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani

JMLR 2023 Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD Kun Yuan, Sulaiman A. Alghunaim, Xinmeng Huang

JMLR 2023 T-Cal: An Optimal Test for the Calibration of Predictive Models Donghwan Lee, Xinmeng Huang, Hamed Hassani, Edgar Dobriban

NeurIPS 2023 Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? Yutong He, Xinmeng Huang, Kun Yuan

NeurIPS 2022 Collaborative Learning of Discrete Distributions Under Heterogeneity and Communication Constraints Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani

NeurIPS 2022 Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan

NeurIPSW 2022 Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks Xinmeng Huang, Kun Yuan

NeurIPS 2022 Revisiting Optimal Convergence Rate for Smooth and Non-Convex Stochastic Decentralized Optimization Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan

NeurIPS 2021 An Improved Analysis and Rates for Variance Reduction Under Without-Replacement Sampling Orders Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin

ICCV 2021 DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin