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05/09/2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity
Federated noisy label learning (FNLL) is emerging as a promising tool fo...
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06/28/2022
FedRare: Federated Learning with Intra- and Inter-Client Contrast for Effective Rare Disease Classification
Federated learning (FL), enabling different medical institutions or clie...
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05/27/2022
FadMan: Federated Anomaly Detection across Multiple Attributed Networks
Anomaly subgraph detection has been widely used in various applications,...
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08/17/2021
ANOMALYMAXQ:Anomaly-Structured Maximization to Query in Attributed Network
The detection of anomaly subgraphs naturally appears in various real-lif...
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01/08/2021
