Part of the Physical Sciences and Mathematics Commons

Works by Cheng Deng in Physical Sciences and Mathematics

2022

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients, Zhiyuan Dang, Xiang Li, Bin Gu, Cheng Deng
Machine Learning Faculty Publications

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang
Bin Gu

2021

Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm, Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng
Machine Learning Faculty Publications

Triply Stochastic Gradient Method For Large-Scale Nonlinear Similar Unlabeled Classification, Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, Heng Huang
Machine Learning Faculty Publications

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang
Machine Learning Faculty Publications

Secure Bilevel Asynchronous Vertical Federated Learning With Backward Updating, Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang
Machine Learning Faculty Publications

Scaling Up Generalized Kernel Methods, Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, Heng Huang
Machine Learning Faculty Publications

Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning, Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng
Machine Learning Faculty Publications