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Found 4 papers, 4 papers with code
Syft 0.5: A Platform for Universally Deployable Structured Transparency
We present Syft 0. 5, a general-purpose framework that combines a core group of privacy-enhancing technologies that facilitate a universal set of structured transparency systems.
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
We introduce PyVertical, a framework supporting vertical federated learning using split neural networks.
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
We present a multi-language, cross-platform, open-source library for asymmetric private set intersection (PSI) and PSI-Cardinality (PSI-C).
A Distributed Trust Framework for Privacy-Preserving Machine Learning
Privacy-preserving techniques distribute computation in order to ensure that data remains in the control of the owner while learning takes place.
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