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Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3113927
Abstract: In this article, we consider the problem of federated learning (FL) with training data that are non independent and identically distributed (non-IID) across the clients. To cope with data heterogeneity, an iterative federated clustering algorithm…
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Keywords:
federated learning;
soft clustering;
learning soft;