Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation
arXiv: Cryptography and Security, 2019.
Machine Learning (ML) is widely used for predictive tasks in a number of critical applications. Recently, collaborative or federated learning is a new paradigm that enables multiple parties to jointly learn ML models on their combined datasets. Yet, in most application domains, such as healthcare and security analytics, privacy risks limi...More
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