Παρακολούθηση
Zhaomin Wu
Zhaomin Wu
Research Fellow at NUS
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nus.edu.sg - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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), 2021
13972021
Privacy-preserving gradient boosting decision trees
Q Li, Z Wu, Z Wen, B He
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2020) 34 …, 2020
952020
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) 13 (4), 1-32, 2022
632022
Practical vertical federated learning with unsupervised representation learning
Z Wu, Q Li, B He
IEEE transactions on big data, 2022
442022
FedTree: A Federated Learning System For Trees
Q Li, Z Wu, Y Cai, CM Yung, T Fu, B He
Proceedings of Machine Learning and Systems (MLSys 2023) 5, 2023
33*2023
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
Z Wu, Q Li, B He
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
292022
DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning
Z Wu, J Zhu, Q Li, B He
Proceedings of the ACM on Management of Data (SIGMOD 2023) 1 (2), 1-26, 2023
102023
Vertibench: Advancing feature distribution diversity in vertical federated learning benchmarks
Z Wu, J Hou, B He
The Twelfth International Conference on Learning Representations (ICLR 2024), 2024
72024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
Z Wu, J Hou, Y Diao, B He
Advances in Neural Information Processing Systems (NeurIPS 2024), 2024
32024
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures
Y Zhang, Z Qin, Z Wu, S Deng
arXiv preprint arXiv:2411.19128, 2024
12024
Federated Data-Efficient Instruction Tuning for Large Language Models
Z Qin, Z Wu, B He, S Deng
arXiv preprint arXiv:2410.10926, 2024
12024
Learning Relational Tabular Data without Shared Features
Z Wu, S Wang, Z Wang, B He
arXiv preprint arXiv:2502.10125, 2025
2025
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Z Wu, Z Qin, J Hou, H Zhao, Q Li, B He, L Fan
arXiv preprint arXiv:2502.08160, 2025
2025
Model-Based Differentially Private Knowledge Transfer for Large Language Models
Z Wu, J Guo, J Hou, B He, L Fan, Q Yang
arXiv preprint arXiv:2410.10481, 2024
2024
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