#
sfp
Here are 2 public repositories matching this topic...
Implements and evaluates TrieHH and SFP heavy-hitter algorithms under local differential privacy, including full data preprocessing, simulation, and F1-score analysis on Wikipedia Clickstream. Designed for reproducible experiments and privacy–utility benchmarking.
python data-preprocessing differential-privacy f1-score sfp privacy-preserving heavy-hitters local-differential-privacy mc-simulation private-aggregation triehh sequence-frequency-puzzle frequency-oracles wikipedia-clickstream privacy-utility-tradeoff
-
Updated
Dec 11, 2025 - Python
Improve this page
Add a description, image, and links to the sfp topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the sfp topic, visit your repo's landing page and select "manage topics."