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ongoing
Zero-Knowledge Proofs for Federated Learning
Developing cryptographic primitives to ensure data privacy in cross-border federated learning environments.
Collaborating Partners
MIT Media Lab
Research Collaborator
Global Health Org
Data Sponsor
In this ongoing research, we are building a framework that allows hospitals and financial institutions to collaboratively train fraud and diagnostic models without ever sharing underlying PII data.
Werkwijze
We utilize zk-SNARKs to cryptographically verify that gradient updates conform to the agreed-upon protocol, preventing poisoning attacks.
Project Metadata
Project Status
ongoing