Federated Learning for Medical Simulation
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Updated
Sep 5, 2026 - Python
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diferential-privacy
Here are 4 public repositories matching this topic...
Privacy-preserving federated learning on Flower: pluggable homomorphic encryption, zero-knowledge proofs of bounded model updates, and differential privacy.
python pytorch homomorphic-encryption flower federated-learning privacy-preserving-machine-learning zero-knowledge-proofs diferential-privacy
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Sep 27, 2026 - Python
Benchmark harness for ppflx: federated learning on Flower under twelve privacy configurations (HE, ZKP, DP and their combinations) across five datasets.
python benchmark homomorphic-encryption federated-learning privacy-preserving-machine-learning zero-knowledge-proofs diferential-privacy
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Sep 27, 2026 - Python
This repository contains an adaption of differential privacy algorithms on learning analitics
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Updated
Sep 7, 2026 - Python
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