GSOC Organizations

OpenMined

Lowering the barrier of entry to privacy preserving technology

Technologies

deep learning

federated learning

homomorphic encryption

secure multi-party computation

differential privacy

python

javascript

rust

pytorch

hyperledger aries

Topics

privacy

artificial intelligence

encrypted computation

federated learning

structured transparency

differential privacy

https://www.openmined.org/

Projects

Contributor

Afzaal Hussain

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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Contributor

ArchitG

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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Contributor

Anshuman Singh.

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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Contributor

Ravikant Singh

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...

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