3 citations · 6 across the 3 of their papers we have counts for
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cs.LG2023★ 3 cited
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
Nannan Wu, Li Yu, Xuefeng Jiang +2
Federated noisy label learning (FNLL) is emerging as a promising tool for privacy-preserving multi-source decentralized learning. Existing research, relying on the assumption of cl…
cs.LG2022★ 2 cited
FadMan: Federated Anomaly Detection across Multiple Attributed Networks
Nannan Wu, Ning Zhang, Wenjun Wang +2
Anomaly subgraph detection has been widely used in various applications, ranging from cyber attack in computer networks to malicious activities in social networks. Despite an incre…