Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. - Shuheng Shen; Linli Xu; Jingchang Liu; Xianfeng Liang; Yifei Cheng 002 (IJCAI, 2019)

Variance Reduced Local SGD with Lower Communication Complexity. - Xianfeng Liang; Shuheng Shen; Jingchang Liu; Zhen Pan; Enhong Chen; Yifei Cheng 002 (CoRR, 2019)

STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. - Shuheng Shen; Yifei Cheng 002; Jingchang Liu; Linli Xu (AAAI, 2021)

Is Heuristic Sampling Necessary in Training Deep Object Detectors? - Joya Chen; Dong Liu 002; Tong Xu 001; Shiwei Wu; Yifei Cheng 002; Enhong Chen (IEEE Trans. Image Process., 2021)

DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training. - Joya Chen; Kai Xu; Yifei Cheng 002; Angela Yao (CoRR, 2022)

Accelerating local SGD for non-IID data using variance reduction. - Xianfeng Liang; Shuheng Shen; Enhong Chen; Jinchang Liu; Qi Liu 003; Yifei Cheng 002; Zhen Pan (Frontiers Comput. Sci., 2022)

DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training. - Joya Chen; Kai Xu; Yuhui Wang; Yifei Cheng 002; Angela Yao (ICLR, 2023)

Communication-efficient federated learning with stagewise training strategy. - Yifei Cheng 002; Shuheng Shen; Xianfeng Liang; Jingchang Liu; Joya Chen; Tie Zhang; Enhong Chen (Neural Networks, 2023)

Adaptive Weighting Push-SUM for Decentralized Optimization with Statistical Diversity. - Yiming Zhou; Yifei Cheng 002; Linli Xu; Enhong Chen (CoRR, 2024)

Communication-efficient clustered federated learning via model distance. - Mao Zhang 002; Tie Zhang; Yifei Cheng 002; Changcun Bao; Haoyu Cao 001; Deqiang Jiang; Linli Xu (Mach. Learn., 2024)

Communication-efficient distributed learning with Local Immediate Error Compensation. - Yifei Cheng 002; Li Shen 008; Linli Xu; Xun Qian; Shiwei Wu; Yiming Zhou; Tie Zhang; Dacheng Tao; Enhong Chen (Neural Networks, 2025)

LightSAM: Parameter-Agnostic Sharpness-Aware Minimization. - Yifei Cheng 002; Li Shen 008; Hao Sun 019; Nan Yin; Xiaochun Cao; Enhong Chen (CoRR, 2025)