Articles with "worker devices" as a keyword



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Practical Private Aggregation in Federated Learning Against Inference Attack

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Published in 2023 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3201231

Abstract: Federated learning (FL) enables multiple worker devices share local models trained on their private data to collaboratively train a machine learning model. However, local models are proved to imply the information about the private data… read more here.

Keywords: worker; federated learning; privacy; local models ... See more keywords