Yilun Jin

SecureBoost: A Lossless Federated Learning Framework

Kewei Cheng, Tao Fan, Yilun Jin et al. · IEEE Intelligent Systems · 2021 · 479 citations

Engineering, Machine Learning, Privacy-preserving Techniques +19

SecureBoost: A Lossless Federated Learning Framework

Kewei Cheng, Tao Fan, Yilun Jin et al. · arXiv (Cornell University) · 2019 · 178 citations · Full text

Engineering, Machine Learning, Privacy-preserving Techniques +19

Fair-AdaBoost: Extending AdaBoost method to achieve fair classification

Xiaoling Huang, Zhenghui Li, Yilun Jin et al. · Expert Systems with Applications · 2022 · 69 citations

Artificial Intelligence, Classification Method, Engineering +7

Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting

Yilun Jin, Kai Chen, Qiang Yang · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 2022 · 68 citations

Artificial Intelligence, Convolutional Neural Network, Engineering +14

Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective

Yilun Jin, Xiguang Wei, Yang Liu et al. · arXiv (Cornell University) · 2020 · 58 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20