Artikel dengan mandat akses publik - Qinbin LiPelajari lebih lanjut
Tersedia di suatu tempat: 16
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, Y Li, X Liu, B He
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Mandat: National Research Foundation, Singapore
Model-Contrastive Federated Learning
Q Li, B He, D Song
CVPR 2021, 2021
Mandat: National Research Foundation, Singapore
Federated learning on non-iid data silos: An experimental study
Q Li*, Y Diao*, Q Chen, B He
ICDE 2022, 2022
Mandat: National Research Foundation, Singapore
Practical One-Shot Federated Learning for Cross-Silo Setting
Q Li, B He, D Song
IJCAI 2021, 2021
Mandat: National Research Foundation, Singapore
The oarf benchmark suite: Characterization and implications for federated learning systems
S Hu, Y Li, X Liu, Q Li, Z Wu, B He
ACM Transactions on Intelligent Systems and Technology (TIST), 2021
Mandat: National Research Foundation, Singapore
Practical vertical federated learning with unsupervised representation learning
Z Wu, Q Li, B He
IEEE transactions on big data, 2022
Mandat: National Research Foundation, Singapore
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
Z Wu, Q Li, B He
NeurIPS 2022, 2022
Mandat: National Research Foundation, Singapore
FedTree: A Federated Learning System For Trees
Q Li, Z Wu, Y Cai, Y Han, CM Yung, T Fu, B He
MLSys 2023, 2023
Mandat: National Research Foundation, Singapore
Towards Addressing Label Skews in One-shot Federated Learning
Y Diao, Q Li, B He
ICLR 2023, 2023
Mandat: National Research Foundation, Singapore
Improving privacy-preserving vertical federated learning by efficient communication with admm
C Xie, PY Chen, Q Li, N Arash, C Zhang, B Li
SaTML 2024, 2024
Mandat: US National Science Foundation, US Department of Defense, US National …
Adversarial Collaborative Learning on Non-IID Features
Q Li, B He, D Song
ICML 2023, 2023
Mandat: National Research Foundation, Singapore
DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning
Z Wu, J Zhu, Q Li, B He
SIGMOD 2023, 2023
Mandat: National Research Foundation, Singapore
Exploiting Label Skews in Federated Learning with Model Concatenation
Y Diao, Q Li, B He
AAAI 2024, 2024
Mandat: National Research Foundation, Singapore
Challenges and Opportunities of Building Fast GBDT Systems
Z Wen, Q Li, B He, B Cui
IJCAI 2021 Survey, 2021
Mandat: National Natural Science Foundation of China, National Research Foundation …
Unraveling the connections between privacy and certified robustness in federated learning against poisoning attacks
C Xie, Y Long, PY Chen, Q Li, S Koyejo, B Li
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
Mandat: US National Science Foundation, US Department of Defense, National Research …
Communication-efficient generalized neuron matching for federated learning
S Hu, Q Li, B He
Proceedings of the 52nd International Conference on Parallel Processing, 254-263, 2023
Mandat: National Research Foundation, Singapore
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