Tao Fan
Tao Fan
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Secureboost: A lossless federated learning framework
K Cheng, T Fan, Y Jin, Y Liu, T Chen, D Papadopoulos, Q Yang
IEEE Intelligent Systems 36 (6), 87-98, 2021
Fate: An industrial grade platform for collaborative learning with data protection
Y Liu, T Fan, T Chen, Q Xu, Q Yang
The Journal of Machine Learning Research 22 (1), 10320-10325, 2021
A quasi-newton method based vertical federated learning framework for logistic regression
K Yang, T Fan, T Chen, Y Shi, Q Yang
arXiv preprint arXiv:1912.00513, 2019
Privacy-preserving federated adversarial domain adaptation over feature groups for interpretability
Y Kang, Y He, J Luo, T Fan, Y Liu, Q Yang
IEEE Transactions on Big Data, 2022
Secureboost+: A high performance gradient boosting tree framework for large scale vertical federated learning
W Chen, G Ma, T Fan, Y Kang, Q Xu, Q Yang
arXiv preprint arXiv:2110.10927, 2021
Fate-llm: A industrial grade federated learning framework for large language models
T Fan, Y Kang, G Ma, W Chen, W Wei, L Fan, Q Yang
arXiv preprint arXiv:2310.10049, 2023
基于 Internet AS 图的紧凑路由算法研究
范涛, 刘勇, 蔡世民, 傅忠谦
中国科学技术大学学报 43 (1), 73-78, 2013
Realizing compact routing scheme by message passing
T Fan, SM Cai, Y Liu, ZQ Fu
2012 8th International Conference on Wireless Communications, Networking and …, 2012
基于 FPGA 的二维 DCT IP 核优化设计
张德学, 范涛
微计算机信息, 23-25, 2010
Grounding Foundation Models through Federated Transfer Learning: A General Framework
Y Kang, T Fan, H Gu, L Fan, Q Yang
arXiv preprint arXiv:2311.17431, 2023
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
Z Ren, Y Kang, L Fan, L Yang, T Fan, Y Tong, Q Yang
arXiv preprint arXiv:2307.10579, 2023
Navigation in Complex Networks Using Random Walk Theory and Principal Component Analysis
Y Gao, T Fan, S Cai
2019 16th International Computer Conference on Wavelet Active Media …, 2019
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