Privacy-Preserving Hierarchical Clustering: Formal Security and Efficient Approximation

arXiv: Cryptography and Security, 2019.

Cited by: 0|Bibtex|Views60
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

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

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments