Tao Fan

According to our database, Tao Fan authored at least 19 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Ten Challenging Problems in Federated Foundation Models.

Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang

IEEE Trans. Knowl. Data Eng., July, 2025

INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling.

Haochen Shi, Tianshi Zheng, Weiqi Wang, Baixuan Xu, Chunyang Li, Chunkit Chan, Tao Fan, Yangqiu Song, Qiang Yang

CoRR, May, 2025

Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study.

Baixuan Xu, Chunyang Li, Weiqi Wang, Wei Fan, Tianshi Zheng, Haochen Shi, Tao Fan, Yangqiu Song, Qiang Yang

CoRR, May, 2025

PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation.

Tao Fan, Guoqiang Ma, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang

CoRR, February, 2025

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models.

Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability.

Yan Kang, Yuanqin He, Jiahuan Luo, Tao Fan, Yang Liu, Qiang Yang

IEEE Trans. Big Data, December, 2024

Accelerating Vertical Federated Learning.

Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang

IEEE Trans. Big Data, December, 2024

FedCoLLM: A Parameter-Efficient Federated Co-tuning Framework for Large and Small Language Models.

Tao Fan, Yan Kang, Guoqiang Ma, Lixin Fan, Kai Chen, Qiang Yang

CoRR, 2024

PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models.

Tao Fan, Yan Kang, Weijing Chen, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang

CoRR, 2024

SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree.

Tao Fan, Weijing Chen, Guoqiang Ma, Yan Kang, Lixin Fan, Qiang Yang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack.

Guanzhong Chen, Zhenghan Qin, Mingxin Yang, Yajie Zhou, Tao Fan, Tianyu Du, Zenglin Xu

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Grounding Foundation Models through Federated Transfer Learning: A General Framework.

Yan Kang, Tao Fan, Hanlin Gu, Lixin Fan, Qiang Yang

CoRR, 2023

FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models.

Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang

CoRR, 2023

SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning.

Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang

CoRR, 2023

2021

FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection.

Yang Liu, Tao Fan, Tianjian Chen, Qian Xu, Qiang Yang

J. Mach. Learn. Res., 2021

SecureBoost: A Lossless Federated Learning Framework.

Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang

IEEE Intell. Syst., 2021

SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning.

Weijing Chen, Guoqiang Ma, Tao Fan, Yan Kang, Qian Xu, Qiang Yang

CoRR, 2021

2019

A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression.

Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang

CoRR, 2019

SecureBoost: A Lossless Federated Learning Framework.

Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang

CoRR, 2019