2.3k citations · 4.1k across the 47 of their papers we have counts for
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cs.LG2022★ 21 cited
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Liang Gao, Huazhu Fu, Li Li +3
Federated learning (FL) allows multiple clients to collectively train a high-performance global model without sharing their private data. However, the key challenge in federated le…
cs.LG2021★ 49 cited
Trusted Multi-View Classification
Zongbo Han, Changqing Zhang, Huazhu Fu +1
Multi-view classification (MVC) generally focuses on improving classification accuracy by using information from different views, typically integrating them into a unified comprehe…
cs.LG2020★ 22 cited
Deep Partial Multi-View Learning
Changqing Zhang, Yajie Cui, Zongbo Han +3
Although multi-view learning has made signifificant progress over the past few decades, it is still challenging due to the diffificulty in modeling complex correlations among diffe…