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Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning

Renuga Kanagavelu et al. · 2020
OpenAlex · Papers · 2020
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artificial-intelligencebig-datacomputer-scienceconfidentialityexploitscalability
Countries across the globe have been pushing strict regulations on the protection of personal or private data collected. The traditional centralized machine learning method, where data is collected from end-users or IoT devices, so that it can discover insights behind real-world data, may not be fea
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