6 citations · 24 across the 8 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.GT2022★ 2 cited
On the Envy-free Allocation of Chores
Lang Yin, Ruta Mehta
We study the problem of allocating a set of indivisible chores to three agents, among whom two have additive cost functions, in a fair manner. Two fairness notions under considerat…
cs.LG2022★ 6 cited
Fair and Optimal Classification via Post-Processing
Ruicheng Xian, Lang Yin, Han Zhao
To mitigate the bias exhibited by machine learning models, fairness criteria can be integrated into the training process to ensure fair treatment across all demographics, but it of…
cs.LG2022★ 5 cited
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
Wenda Chu, Chulin Xie, Boxin Wang +5
Federated learning (FL) allows agents to jointly train a global model without sharing their local data. However, due to the heterogeneous nature of local data, it is challenging to…