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en línea
Haokun Fang and Quan Qian    
Privacy protection has been an important concern with the great success of machine learning. In this paper, it proposes a multi-party privacy preserving machine learning framework, named PFMLP, based on partially homomorphic encryption and federated lear... ver más
Revista: Future Internet    Formato: Electrónico

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