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Mingjia Shi
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2020 – today
- 2024
- [i6]Kai Wang, Yukun Zhou, Mingjia Shi, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Hanwang Zhang, Yang You:
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. CoRR abs/2405.17403 (2024) - [i5]Xinghao Wu, Jianwei Niu, Xuefeng Liu, Mingjia Shi, Guogang Zhu, Shaojie Tang:
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation. CoRR abs/2407.16139 (2024) - 2023
- [j3]Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv:
DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1217-1227 (2023) - [c3]Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv:
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. ICCV 2023: 5008-5017 - [c2]Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv:
Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse. ICONIP (8) 2023: 449-464 - [c1]Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv:
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS 2023 - [i4]Yuhao Zhou, Mingjia Shi, Qing Ye, Yanan Sun, Jiancheng Lv:
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. CoRR abs/2302.13562 (2023) - [i3]Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiangcheng Lv:
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. CoRR abs/2310.09183 (2023) - 2022
- [j2]Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv:
FLSGD: free local SGD with parallel synchronization. J. Supercomput. 78(10): 12410-12433 (2022) - [j1]Qing Ye, Yuhao Zhou, Mingjia Shi, Jiancheng Lv:
Correction to: FLSGD: free local SGD with parallel synchronization. J. Supercomput. 78(10): 12434 (2022) - [i2]Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv:
Personalized Federated Learning with Hidden Information on Personalized Prior. CoRR abs/2211.10684 (2022) - 2020
- [i1]Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv:
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training. CoRR abs/2007.11831 (2020)
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