Spremljaj
Li Shen
Li Shen
Associate Professor, Sun Yat-sen University
Preverjeni e-poštni naslov na mail.sysu.edu.cn - Domača stran
Naslov
Navedeno
Navedeno
Leto
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
642*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
5412019
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
3502022
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
2792023
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
1502022
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
1372021
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
1292022
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
1292022
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
108*2023
AdaMerging: Adaptive Model Merging for Multi-Task Learning
E Yang, Z Wang, L Shen, S Liu, G Guo, X Wang, D Tao
The Twelfth International Conference on Learning Representations (ICLR), 2024
952024
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
87*2022
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
862022
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
862021
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
782022
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
782022
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
732022
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
712023
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
672022
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
E Yang, L Shen, G Guo, X Wang, X Cao, J Zhang, D Tao
arXiv preprint arXiv:2408.07666, 2024
622024
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization
M Zhu, S Wei, L Shen, Y Fan, B Wu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
622023
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