Qinbin Li
Qinbin Li
Verifierad e-postadress på comp.nus.edu.sg - Startsida
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A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Q Li, Z Wen, Z Wu, S Hu, N Wang, B He
arXiv preprint arXiv:1907.09693, 2019
124*2019
ThunderSVM: A fast SVM library on GPUs and CPUs
Z Wen, J Shi, Q Li, B He, J Chen
The Journal of Machine Learning Research 19 (1), 797-801, 2018
1162018
Practical Federated Gradient Boosting Decision Trees
Q Li, Z Wen, B He
AAAI 2020, 2020
342020
Privacy-Preserving Gradient Boosting Decision Trees
Q Li, Z Wu, Z Wen, B He
AAAI 2020, 2020
192020
Exploiting GPUs for efficient gradient boosting decision tree training
Z Wen, J Shi, B He, J Chen, K Ramamohanarao, Q Li
IEEE Transactions on Parallel and Distributed Systems 30 (12), 2706-2717, 2019
192019
Federated learning on non-iid data silos: An experimental study
Q Li, Y Diao, Q Chen, B He
arXiv preprint arXiv:2102.02079, 2021
112021
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Z Wen, H Liu, J Shi, Q Li, B He, J Chen
The Journal of Machine Learning Research (JMLR), 2020
112020
The oarf benchmark suite: Characterization and implications for federated learning systems
S Hu, Y Li, X Liu, Q Li, Z Wu, B He
arXiv preprint arXiv:2006.07856, 2020
102020
Model-Contrastive Federated Learning
Q Li, B He, D Song
CVPR 2021, 2021
72021
Practical One-Shot Federated Learning for Cross-Silo Setting
Q Li, B He, D Song
IJCAI 2021, 2021
7*2021
Adaptive Kernel Value Caching for SVM Training
Q Li, Z Wen, B He
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
72019
Exploiting Record Similarity for Practical Vertical Federated Learning
Z Wu, Q Li, B He
arXiv preprint arXiv:2106.06312, 2021
2021
Challenges and Opportunities of Building Fast GBDT Systems
Z Wen, Q Li, B He, B Cui
IJCAI 2021 Survey, 0
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Artiklar 1–13