Xiaoge Deng
Orcid: 0000-0003-0622-1202
According to our database1,
Xiaoge Deng
authored at least 21 papers
between 2020 and 2025.
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On csauthors.net:
Bibliography
2025
Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient.
IEEE Trans. Big Data, February, 2025
CoRR, January, 2025
2024
Neural Networks, 2024
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networks.
CoRR, 2024
CoRR, 2024
Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models.
IEEE J. Sel. Areas Commun., April, 2023
CoRR, 2023
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training.
CoRR, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
SASG: Sparsification with Adaptive Stochastic Gradients for Communication-efficient Distributed Learning.
CoRR, 2021
S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning.
CoRR, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
2020
A Nonconvex Implementation of Sparse Subspace Clustering: Algorithm and Convergence Analysis.
IEEE Access, 2020
Linear Convergence Rate of Splitting Algorithms for Multi-Block Constrained Convex Minimizations.
IEEE Access, 2020
PRIAG: Proximal Reweighted Incremental Aggregated Gradient Algorithm for Distributed Optimizations.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020