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Differentially Private Clustering in Data Streams. (arXiv:2307.07449v1 [cs.DS])
cs.CR updates on arXiv.org arxiv.org
The streaming model is an abstraction of computing over massive data streams,
which is a popular way of dealing with large-scale modern data analysis. In
this model, there is a stream of data points, one after the other. A streaming
algorithm is only allowed one pass over the data stream, and the goal is to
perform some analysis during the stream while using as small space as possible.
Clustering problems (such as $k$-means and $k$-median) are fundamental
unsupervised machine learning …
abstraction algorithm analysis clustering computing data data analysis data points data stream large pass popular private scale stream streaming