FedMetaMed is claimed to reach 87% average F1 and 90% AUC across four dermoscopy clients, outperforming FedBN, FedAvg, and MetaFed in the reported tables.
Fedbcgd: Communication-efficient accelerated block coordinate gradient descent for federated learning,
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FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems
FedMetaMed is claimed to reach 87% average F1 and 90% AUC across four dermoscopy clients, outperforming FedBN, FedAvg, and MetaFed in the reported tables.