Algorithms recover Wasserstein distance matrices from few entries via matrix completion and Nyström sampling, with MDS stability proof and stable OrganCMNIST classification at 10% column budget.
Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification
2 Pith papers cite this work. Polarity classification is still indexing.
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FedKPer improves the generalization-personalization trade-off in medical federated learning via local knowledge personalization and selective aggregation that emphasizes reliable updates.
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FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization
FedKPer improves the generalization-personalization trade-off in medical federated learning via local knowledge personalization and selective aggregation that emphasizes reliable updates.