37 citations · 132 across the 20 of their papers we have counts for
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cs.LG2020
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test
Zicun Cong, Lingyang Chu, Yu Yang +1
The Kolmogorov-Smirnov (KS) test is popularly used in many applications, such as anomaly detection, astronomy, database security and AI systems. One challenge remained untouched is…
cs.LG2020★ 37 cited
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang, Lingyang Chu, Zirui Zhou +4
Non-IID data present a tough challenge for federated learning. In this paper, we explore a novel idea of facilitating pairwise collaborations between clients with similar data. We…