21 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 21 cited
An Experimental Study of Class Imbalance in Federated Learning
C. Xiao, S. Wang
Federated learning is a distributed machine learning paradigm that trains a global model for prediction based on a number of local models at clients while local data privacy is pre…
cs.LG2017★ 4 cited
Proceedings of the IJCAI 2017 Workshop on Learning in the Presence of Class Imbalance and Concept Drift (LPCICD'17)
Shuo Wang, Leandro L. Minku, Nitesh Chawla +1
With the wide application of machine learning algorithms to the real world, class imbalance and concept drift have become crucial learning issues. Class imbalance happens when the…