Privacy-Preserving Collective Learning With Homomorphic Encryption
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DOI: 10.1109/access.2021.3114581
Abstract: Deep learning models such as long short-term memory (LSTM) are valuable classifiers for time series data like hourly clinical statistics. However, access to health data is challenging due to privacy and legal issues. Homomorphic encryption… read more here.
Keywords: preserving collective; privacy preserving; protocol; homomorphic encryption ... See more keywords