Zhaomin Wu

According to our database, Zhaomin Wu authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection.

Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He

IEEE Trans. Knowl. Data Eng., April, 2023

DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning.

Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He

Proc. ACM Manag. Data, 2023

VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks.

Zhaomin Wu, Junyi Hou, Bingsheng He

CoRR, 2023

2022

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems.

Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He

ACM Trans. Intell. Syst. Technol., 2022

Practical Vertical Federated Learning with Unsupervised Representation Learning.

Zhaomin Wu, Qinbin Li, Bingsheng He

CoRR, 2022

A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning.

Zhaomin Wu, Qinbin Li, Bingsheng He

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Privacy-Preserving Gradient Boosting Decision Trees.

Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection.

Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He

CoRR, 2019