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OpenMined

Lowering the barrier of entry to privacy preserving technology

deep learningdifferential privacyfederated learninghomomorphic encryptionmachine learningsecure multi-party computationhyperledger ariesjavascriptpythonpytorch

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Participation history

2 GSoC years

2021 2020

2021

5 projects

Official year page

Implement FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning in SyMPC

FALCON is the current state-of-the-art Multiparty Computation (MPC) Framework for Private-Deep Learning(PDL).MPC allows mutually distrusting parties...

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Integrating scikit-learn into Syft

Openmined's Syft library provides an infrastructure for computing on data you do not own and cannot see. It allows data scientists to work with data...

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Integrating NumPy into PySyft

A project to integrate NumPy, the leading package for scientific computations, into PySyft, a library for answering questions with data you cannot...

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Integrating Pandas into Syft

The Syft ecosystem allows one to write software that can compute over information you do not own on machines you do not have (total) control over....

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High Performance Data Channel for Duet

This project aims at firstly, investigating the performance of the current implementations against its alternatives at various levels of data...

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2020

4 projects

Official year page

Performing a security audit on privacy-preserving, distributed learning methodologies running on PyGrid with respect to GDPR requirement.

In order to bridge the gap between industry and new technology, this project will supply governance models which are relevant to Privacy-Preserving...

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Wrap Open-License Zero-Knowledge Proof Library

Zero-knowledge proofs have an important role to play in the future of verified machine learning prediction. However, no deep learning framework has...

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Implement Auto-Scaling of PyGrid servers on Google Cloud

The audience of PySyft largely consists of people who would like to train their model on private data that reside on other devices/locations. Right...

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Implement Fan-Vercauteren Homomorphic Encryption Scheme in PySyft

FV (Fan-Vercauteren) Homomorphic Encryption scheme is one of the leading approaches in homomorphic encryption. Homomorphic encryption is a form of...

Code Project page