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
121 2018 VF2 Boost: 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
86 2021 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
66 2020 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
46 2018 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
44 2022 Retrieval-augmented generation for ai-generated content: A survey P Zhao, H Zhang, Q Yu, Z Wang, Y Geng, F Fu, L Yang, W Zhang, B Cui
arXiv preprint arXiv:2402.19473, 2024
33 2024 An experimental evaluation of large scale GBDT systems F Fu, J Jiang, Y Shao, B Cui
arXiv preprint arXiv:1907.01882, 2019
33 2019 Towards communication-efficient vertical federated learning training via cache-enabled local updates F Fu, X Miao, J Jiang, H Xue, B Cui
arXiv preprint arXiv:2207.14628, 2022
23 2022 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
20 2020 Vf-ps: How to select important participants in vertical federated learning, efficiently and securely? J Jiang, L Burkhalter, F Fu, B Ding, B Du, A Hithnawi, B Li, C Zhang
Advances in Neural Information Processing Systems 35, 2088-2101, 2022
17 2022 Analyzing online transaction networks with network motifs J Jiang, Y Hu, X Li, W Ouyang, Z Wang, F Fu, B Cui
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
8 2022 Osdp: Optimal sharded data parallel for distributed deep learning Y Jiang, F Fu, X Miao, X Nie, B Cui
arXiv preprint arXiv:2209.13258, 2022
7 2022 P X Miao, W Zhang, Y Jiang, F Fu, Y Shao, L Chen, Y Tao, G Cao, B Cui
The VLDB Journal 32 (4), 717-736, 2023
6 2023 Angel-ptm: A scalable and economical large-scale pre-training system in tencent X Nie, Y Liu, F Fu, J Xue, D Jiao, X Miao, Y Tao, B Cui
arXiv preprint arXiv:2303.02868, 2023
6 2023 Kvsagg: Secure aggregation of distributed key-value sets Y Wu, S Dong, Y Zhou, Y Zhao, F Fu, T Yang, C Niu, F Wu, B Cui
2023 IEEE 39th International Conference on Data Engineering (ICDE), 1775-1789, 2023
4 2023 Generative and contrastive paradigms are complementary for graph self-supervised learning Y Wang, X Yan, C Hu, Q Xu, C Yang, F Fu, W Zhang, H Wang, B Du, ...
2024 IEEE 40th International Conference on Data Engineering (ICDE), 3364-3378, 2024
3 2024 Key technology and innovation of privacy preserving computing F Fangcheng, H Chen, C Yong, TAO Yangyu
Information and Communications Technology and Policy 47 (6), 27, 2021
3 2021 Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference Z Yu, H Li, F Fu, X Miao, B Cui
Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16605 …, 2024
2 2024 Vertical federated logistic regression via homomorphic encryption and secret sharing FU Fangcheng, LIU Shu, C Yong, TAO Yangyu
Information and Communications Technology and Policy 48 (5), 34, 2022
2 2022 Training method and system for decision tree model, storage medium, and prediction method J Jiang, FU Fangcheng
US Patent App. 17/163,343, 2021
2 2021 
Bin CUIProfessor of Computer Science, Peking UniversityПотвърден имейл адрес: pku.edu.cn
