Fangcheng Fu
Fangcheng Fu
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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
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
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
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
An experimental evaluation of large scale GBDT systems
F Fu, J Jiang, Y Shao, B Cui
arXiv preprint arXiv:1907.01882, 2019
SKCompress: compressing sparse and nonuniform gradient in distributed machine learning
J Jiang, F Fu, T Yang, Y Shao, B Cui
The VLDB Journal 29, 945-972, 2020
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
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
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning
Y Jiang, F Fu, X Miao, X Nie, B Cui
arXiv preprint arXiv:2305.09940, 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
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). IEEE, 2023
PCG: a privacy preserving collaborative graph neural network training framework
X Miao, W Zhang, Y Jiang, F Fu, Y Shao, L Chen, Y Tao, G Cao, B Cui
The VLDB Journal, 1-20, 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
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, 2022
Key technology and innovation of privacy preserving computing
FU Fangcheng, HOU Chen, C Yong, TAO Yangyu
Information and Communications Technology and Policy 47 (6), 27, 2021
Training method and system for decision tree model, storage medium, and prediction method
J Jiang, FU Fangcheng
US Patent App. 17/163,343, 2021
FISEdit: Accelerating Text-to-image Editing via Cache-enabled Sparse Diffusion Inference
Z Yu, H Li, F Fu, X Miao, B Cui
arXiv preprint arXiv:2305.17423, 2023
Data processing method and apparatus, device, and computer-readable storage medium
FU Fangcheng, J Jiang, PAN Junwei, HOU Chen, XUE Huanran, ...
US Patent App. 18/072,313, 2023
Secure multi-party computation method and apparatus, device, and storage medium
Y Cheng, TAO Yangyu, FU Fangcheng
US Patent App. 17/992,685, 2023
Training Method, Apparatus, and Device for Federated Neural Network Model, Computer Program Product, and Computer-Readable Storage Medium
Y Cheng, XUE Huanran, FU Fangcheng, TAO Yangyu
US Patent App. 17/956,490, 2023
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