Yan Kang

Researcher, AI group, Webank

Joined

October 2022

Names

Yan Kang (Preferred)

Emails

****@gmail.com (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

Researcher

AI group, Webank (webank.com)

2018 – Present

PhD student

University of Maryland, Baltimore County (umbc.edu)

2009 – 2015

Advisors, Relations & Conflicts

Coauthor

Hanlin Gu

2022 – Present

Coauthor

2018 – Present

Expertise

Federated Learning

Present

Transfer Learning

Present

Publications

Amalur: Data Integration Meets Machine Learning
Rihan Hai, Christos Koutras, Andra Ionescu, Ziyu Li, Wenbo Sun, Jessie van Schijndel, Yan Kang, Asterios Katsifodimos
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- ICDE 2023
- Readers: Everyone
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- IJCAI 2023
- Readers: Everyone
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning
Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- CoRR 2023
- Readers: Everyone
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- CoRR 2023
- Readers: Everyone
Privacy in Large Language Models: Attacks, Defenses and Future Directions
Haoran Li, Yulin Chen, Jinglong Luo, Yan Kang, Xiaojin Zhang, Qi Hu, Chunkit Chan, Yangqiu Song
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- CoRR 2023
- Readers: Everyone
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning
Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- CoRR 2023
- Readers: Everyone
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
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- CoRR 2023
- Readers: Everyone
Trading Off Privacy, Utility and Efficiency in Federated Learning
Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features
Yang Liu, Xinwei Zhang, Yan Kang, Liping Li, Tianjian Chen, Mingyi Hong, Qiang Yang
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- IEEE Trans. Signal Process. 2022
- Readers: Everyone

View all 26 publications

Co-Authors

View all 70 co-authors