56 citations · 78 across the 10 of their papers we have counts for
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cs.LG2022★ 3 cited
Towards Federated Long-Tailed Learning
Zihan Chen, Songshang Liu, Hualiang Wang +3
Data privacy and class imbalance are the norm rather than the exception in many machine learning tasks. Recent attempts have been launched to, on one side, address the problem of l…
cs.LG2022★ 10 cited
FedCorr: Multi-Stage Federated Learning for Label Noise Correction
Jingyi Xu, Zihan Chen, Tony Q. S. Quek +1
Federated learning (FL) is a privacy-preserving distributed learning paradigm that enables clients to jointly train a global model. In real-world FL implementations, client data co…