Sketchml: Accelerating distributed machine learning with data sketches J Jiang, F Fu, T Yang, B Cui Proceedings of the 2018 International Conference on Management of Data, 1269 …, 2018 | 73 | 2018 |
Dimboost: Boosting gradient boosting decision tree to higher dimensions J Jiang, B Cui, C Zhang, F Fu Proceedings of the 2018 International Conference on Management of Data, 1363 …, 2018 | 31 | 2018 |
An experimental evaluation of large scale GBDT systems F Fu, J Jiang, Y Shao, B Cui arXiv preprint arXiv:1907.01882, 2019 | 19 | 2019 |
Don’t waste your bits! squeeze activations and gradients for deep neural networks via tinyscript F Fu, Y Hu, Y He, J Jiang, Y Shao, C Zhang, B Cui International Conference on Machine Learning, 3304-3314, 2020 | 16 | 2020 |
SKCompress: compressing sparse and nonuniform gradient in distributed machine learning J Jiang, F Fu, T Yang, Y Shao, B Cui The VLDB Journal 29 (5), 945-972, 2020 | 9 | 2020 |
VF2Boost: Very Fast Vertical Federated Gradient Boosting for Cross-Enterprise Learning F Fu, Y Shao, L Yu, J Jiang, H Xue, Y Tao, B Cui Proceedings of the 2021 International Conference on Management of Data, 563-576, 2021 | 5 | 2021 |
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data F Fu, H Xue, Y Cheng, Y Tao, B Cui Proceedings of the 2022 International Conference on Management of Data, 1316 …, 2022 | | 2022 |
K-core decomposition on super large graphs with limited resources S Gao, J Xu, X Li, F Fu, W Zhang, W Ouyang, Y Tao, B Cui Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 413-422, 2022 | | 2022 |