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Li Shen
Li Shen
Associate Professor, Sun Yat-sen University
Dirección de correo verificada de mail.sysu.edu.cn - Página principal
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Fedml: A research library and benchmark for federated machine learning
C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ...
arXiv preprint arXiv:2007.13518, 2020
613*2020
A sufficient condition for convergences of adam and rmsprop
F Zou*, L Shen*, Z Jie, W Zhang, W Liu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11127 …, 2019
4802019
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
L Zhang, L Shen, L Ding, D Tao, L Duan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
2632022
Towards Making the Most of ChatGPT for Machine Translation
K Peng, L Ding, Q Zhong, L Shen, X Liu, M Zhang, Y Ouyang, D Tao
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
2262023
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training
R Dai, L Shen, F He, X Tian, D Tao
The 39th International Conference on Machine Learning (ICML), 2022
1182022
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
S Liu, T Chen, X Chen, Z Atashgahi, L Yin, H Kou, L Shen, M Pechenizkiy, ...
The Thirty-Fifth Annual Conference on Neural Information Processing Systems …, 2021
1182021
Stochastic Client Selection for Federated Learning with Volatile Clients
T Huang, W Lin, L Shen, K Li, AY Zomaya
IEEE Internet of Things Journal, 2022
1052022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
S Liu, T Chen, X Chen, L Shen, DC Mocanu, Z Wang, M Pechenizkiy
The Tenth International Conference on Learning Representations (ICLR), 2022
1052022
A Unified Analysis of AdaGrad with Weighted Aggregation and Momentum Acceleration
L Shen, C Chen, F Zou, Z Jie, J Sun, W Liu
IEEE Transactions on Neural Networks and Learning Systems, 2023
96*2023
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning
S Fu, F He, Y Liu, L Shen, D Tao
The Tenth International Conference on Learning Representations (ICLR), 2022
77*2022
Fedcv: a federated learning framework for diverse computer vision tasks
C He, AD Shah, Z Tang, DFAN Sivashunmugam, K Bhogaraju, M Shimpi, ...
arXiv preprint arXiv:2111.11066, 2021
742021
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Z Qin, Y Fan, Y Liu, L Shen, Y Zhang, J Wang, B Wu
The Thirty-Sixth Annual Conference on Neural Information Processing Systems …, 2022
662022
Understanding Robust Overfitting of Adversarial Training and Beyond
C Yu, B Han, L Shen, J Yu, C Gong, M Gong, T liu
The 39th International Conference on Machine Learning (ICML), 2022
612022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
L Zhang, L Shen, L Yang, S Chen, B Yuan, X Wang, D Tao
The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022
612022
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
C Liu, C Lou, R Wang, AY Xi, L Shen, J Yan
The 39th International Conference on Machine Learning (ICML), 2022
572022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
P Mi, L Shen, T Ren, Y Zhou, X Sun, R Ji, D Tao
The Thirty-Sixth Annual Conference on Neural Information Processing Systems …, 2022
562022
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
Q Zhong, L Ding, L Shen, P Mi, J Liu, B Du, D Tao
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
482022
Make Landscape Flatter in Differentially Private Federated Learning
Y Shi, Y Liu, K Wei, L Shen, X Wang, D Tao
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
462023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Y Sun, L Shen, T Huang, L Ding, D Tao
The Eleventh International Conference on Learning Representations (ICLR), 2023
462023
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
Z Huang, X Xia, L Shen, B Han, M Gong, C Gong, T Liu
The Eleventh International Conference on Learning Representations (ICLR), 2023
452023
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Artículos 1–20