no code implementations • 28 Jan 2023 • Xiangfeng Wang, Hongteng Xu, Moyi Yang
Privacy-preserving distributed distribution comparison measures the distance between the distributions whose data are scattered across different agents in a distributed system and cannot be shared among the agents.
1 code implementation • 9 Feb 2022 • Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha
Fairness has been taken as a critical metric in machine learning models, which is considered as an important component of trustworthy machine learning.