Momentum Gradient Descent Federated Learning with Local Differential Privacy

no code implementations • 28 Sep 2022 • Mengde Han, Tianqing Zhu, Wanlei Zhou

The major challenge is to find a way to guarantee that sensitive personal information is not disclosed while data is published and analyzed.

Federated Learning Privacy Preserving

Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination

no code implementations • 25 Sep 2020 • Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu

A set of experiments on real-world and synthetic datasets show that our method is able to use unlabeled data to achieve a better trade-off between accuracy and discrimination.

BIG-bench Machine Learning Ensemble Learning +1

Fairness Constraints in Semi-supervised Learning

no code implementations • 14 Sep 2020 • Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu

Extensive experiments show that our method is able to achieve fair semi-supervised learning, and reach a better trade-off between accuracy and fairness than fair supervised learning.

BIG-bench Machine Learning Fairness