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In this paper, we present Fedlearn-Algo, an open-source privacy preservingmachine learning platform. We use this platform to demonstrate our research anddevelopment results on privacy preserving machine learning algorithms. As thefirst batch of novel FL algorithm examples, we release vertical federatedkernel binary classification model and vertical federated random forest model.They have been tested to be more efficient than existing vertical federatedlearning models in our practice. Besides the novel FL algorithm examples, wealso release a machine communication module. The uniform data transferinterface supports transferring widely used data formats between machines. Wewill maintain this platform by adding more functional modules and algorithmexamples. The code is available at https://github.com/fedlearnAI/fedlearn-algo.

Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform