Követés
Li Shen
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
543*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
4372019
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
1992022
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
1692023
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
1072021
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
902022
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
87*2023
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
832022
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
832022
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
63*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
632021
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
562022
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
502022
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
472022
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
462022
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
432022
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
422022
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Z Guo, M Liu, Z Yuan, L Shen, W Liu, T Yang
Thirty-seventh International Conference on Machine Learning (ICML), 2020
412020
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Z Wang, L Shen, L Fang, Q Suo, T Duan, M Gao
The 39th International Conference on Machine Learning (ICML), 2022
382022
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
322023
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