Publications

Preprint

Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer
Qinbin Li, Bingsheng He, Dawn Song
arXiv preprint. [PDF]

Federated Learning on Non-IID Data Silos: An Experimental Study
Qinbin Li*, Yiqun Diao*, Quan Chen, Bingsheng He
arXiv preprint. [PDF]

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
arXiv preprint. [PDF]

The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems
Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
arXiv preprint. [PDF]

2021

Model-Contrastive Federated Learning
Qinbin Li, Bingsheng He, Dawn Song
The Conference on Computer Vision and Pattern Recognition CVPR 2021. PDF published later.

2020

ThunderGBM: Fast GBDTs and Random Forests on GPUs
Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
Journal of Machine Learning Research. JMLR 2020. [PDF]

Practical Federated Gradient Boosting Decision Trees
Qinbin Li, Zeyi Wen, Bingsheng He
Thirty-Fourth AAAI Conference on Artificial Intelligence. AAAI 2020. [PDF]

Privacy-Preserving Gradient Boosting Decision Trees
Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
Thirty-Fourth AAAI Conference on Artificial Intelligence. AAAI 2020. [PDF]

2019

Adaptive Kernel Value Caching for SVM Training
Qinbin Li, Zeyi Wen, Bingsheng He
IEEE Transactions on Neural Networks and Learning Systems. TNNLS 2019. [PDF]

Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training
Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, Qinbin Li
IEEE Transactions on Parallel and Distributed Systems. TPDS 2019 best paper. [PDF]

2018

ThunderSVM: A Fast SVM Library on GPUs and CPUs
Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen
Journal of Machine Learning Research. JMLR 2018. [PDF]