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FedDSL: A Novel Client Selection Method to Handle Statistical Heterogeneity in Cross-Silo Federated Learning Using Flower Framework

Federated learning provides a mechanism for different silos to collaborate, and each silo gets aid without compromising privacy. This simulation study is based on healthcare datasets, so the silos are hospitals or healthcare organizations. The selection of hospitals for federated learning increases...

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Váldodahkkit: Vineetha Pais, Santhosha Rao, Balachandra Muniyal
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: IEEE 2024-01-01
Ráidu:IEEE Access
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Liŋkkat:https://ieeexplore.ieee.org/document/10720779/
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