Xiaoge Deng

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Convergence Analysis

Incremental Updating

Generative Model

Top Venues

IEEE J. Sel. Areas Commun.

Publications

Simiao Chen, Xiaoge Deng, Dongpo Xu, Tao Sun, Dongsheng Li
Decentralized stochastic sharpness-aware minimization algorithm. Neural Networks 176 (2024)
Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng Li
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients. CoRR (2024)
Ziqing Wen, Xiaoge Deng, Ping Luo, Tao Sun, Dongsheng Li
Score-based Generative Models with Adaptive Momentum. CoRR (2024)
Ziqing Wen, Xiaoge Deng, Tao Sun, Dongsheng Li
Normalized Stochastic Heavy Ball with Adaptive Momentum. ECAI (2023)
Keshi Ge, Kai Lu, Yongquan Fu, Xiaoge Deng, Zhiquan Lai, Dongsheng Li
Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models. IEEE J. Sel. Areas Commun. 41 (4) (2023)
Shengwei Li, Zhiquan Lai, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Dongsheng Li, Kai Lu
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training. CoRR (2023)
Xiaoge Deng, Li Shen, Shengwei Li, Tao Sun, Dongsheng Li, Dacheng Tao
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent. CoRR (2023)
Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. AAAI (2023)
Keshi Ge, Yongquan Fu, Yiming Zhang, Zhiquan Lai, Xiaoge Deng, Dongsheng Li
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. ICASSP (2022)
Keshi Ge, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. CoRR (2021)
Keshi Ge, Yiming Zhang, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li
CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization. CLUSTER (2021)
Xiaoge Deng, Tao Sun, Dongsheng Li
SASG: Sparsification with Adaptive Stochastic Gradients for Communication-efficient Distributed Learning. CoRR (2021)
Xiaoge Deng, Tao Sun, Feng Liu, Feng Huang
PRIAG: Proximal Reweighted Incremental Aggregated Gradient Algorithm for Distributed Optimizations. ICA3PP (1) (2020)
Xiaoge Deng, Tao Sun, Peibing Du, Dongsheng Li
A Nonconvex Implementation of Sparse Subspace Clustering: Algorithm and Convergence Analysis. IEEE Access 8 (2020)
Xiaoge Deng, Feng Liu, Feng Huang
Linear Convergence Rate of Splitting Algorithms for Multi-Block Constrained Convex Minimizations. IEEE Access 8 (2020)