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To strengthen data privacy and security, federated learning as an emerging machine learning technique is proposed to enable large-scale nodes, e.g., mobile devices, to distributedly train and globally share models without revealing their local data.
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X. Zhu, H. Li, and Y. Yu, “Blockchain-based privacy preserving deep learning,” 2018. Available: http://xxhb.fjnu.edu.cn/_upload/tpl/06/5d/1629/template1629/papers/83.pdf
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