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fresco-ml

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This repo contains various machine learning tools based on the secure multi-party framework FRESCO. These allows multiple parties to train and/or evaluate machine learning models on their combined data without sharing their data with the other parties.

The tools currently include:

  • Neural networks
  • Decision trees
  • Federated learning
  • Support vector machines
  • Logistic regression

The easist way to see how each tool is used is to see the corresponding unit tests.

Federated learning demo

The repo contains a demo of federated learning on the MNIST handwritten digits dataset where all parties run locally for 10 global epochs. Build it with mvn packageand run ./launchscript.sh [number of parties] [number of local examples]. Example parameters could be 3 parties and 5.000 local examples each.

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Testbed for machine learning algorithms using the FRESCO framework

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