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Decentralised Federated Learning for Hospital Networks With Application to COVID-19 Detection

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3202922

Abstract: Federated Learning (FL) is a distributed machine learning technique which enables local learning of global machine learning models without the need of exchanging data. The original FL algorithm, Federated Averaging (FedAvg), is extended in this… read more here.

Keywords: learning hospital; federated learning; decentralised federated; covid detection ... See more keywords