Abstract: Federated Learning (FL) represents a promising approach to typical privacy concerns associated with centralized Machine Learning (ML) deployments. Despite its well-known advantages, FL is ...
Abstract: Accurately clustering large, high dimensional datasets is a challenging problem in unsupervised learning. K-means is considered to be a fast, widely used and accurate centroid based data ...
The original source of this repository started from the Swisskyrepo. Over time I have slowly added other content in from my own Cloud Penetration Testing experience or other publicly available sources ...
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