Securing a Local Training Dataset Size in Federated Learning
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DOI: 10.1109/access.2022.3210702
Abstract: Federated learning (FL) is an emerging paradigm that helps to train a global machine learning (ML) model by utilizing decentralized data among clients without sharing them. Although FL is a more secure way of model… read more here.
Keywords: size datasets; federated learning; securing local; among clients ... See more keywords