1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.IR2024★ 1 cited
Measuring Fairness in Large-Scale Recommendation Systems with Missing Labels
Yulong Dong, Kun Jin, Xinghai Hu +1
In large-scale recommendation systems, the vast array of items makes it infeasible to obtain accurate user preferences for each product, resulting in a common issue of missing labe…
cs.LG2023
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
Kun Jin, Tongxin Yin, Zhongzhu Chen +4
We consider a federated learning (FL) system consisting of multiple clients and a server, where the clients aim to collaboratively learn a common decision model from their distribu…