Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning
CVPR 2024（2024）
Key words
Federated Learning,Prototype,Data Distribution,Heterogeneous Data,Statistical Heterogeneity,Adaptive Learning,Global Knowledge,Global Consensus,Multimodal Dataset,Incompatibility Issues,Loss Function,Neural Network,Model Parameters,Model Performance,Learning Rate,Global Model,Public Datasets,Data Privacy,Emotion Recognition,Data Modalities,Server Side,Node Features,Client-side,Action Recognition,Optical Flow,Aggregation Scheme,Multimodal Network,Video Features,Latent Features,Common Datasets
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