An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.
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Aug 4, 2019 - Python
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secure-aggregation
Here are 24 public repositories matching this topic...
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Dec 23, 2025 - Rust
Privacy-Preserving Data Analysis using Pandas
pandas data-analytics data-analysis differential-privacy privacy-preserving-analytics secure-aggregation federated-analytics
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Oct 16, 2021 - Python
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
python c cpp data-privacy commitment privacy-preserving federated-learning elliptic-curve secure-aggregation
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Aug 21, 2025 - C
Implementation of the Heflp, a framework enabling practical and overflow-safe federated learning.
homomorphic-encryption federated-learning privacy-preserving-machine-learning secure-aggregation risk-of-overflowing
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Sep 23, 2025 - Python
Privacy-first decentralized AI training network combining federated learning, blockchain incentives, and quantum-safe cryptography. Enable secure collaborative model development without sharing raw data.
python rust cryptography algorithms ipfs smart-contracts pytorch post-quantum-cryptography homomorphic-encryption federated-learning ipfs-blockchain zero-knowledge-proofs secure-aggregation decentralized-ai blockchain-ml privacy-preserving-ai
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Oct 9, 2025 - Python
Secure Aggregation with Shamir’s Method
shamir shamir-secret-sharing secure-multi-party-computation secure-aggregation secure-multiparty-computation
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Oct 20, 2021 - Python
An implementation of the secure aggregation algorithm for federated learning
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Nov 10, 2022 - Python
Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy
machine-learning privacy clustering kmeans differential-privacy federated-learning secure-aggregation
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Jun 14, 2025 - Python
A sublinear secure aggregation protocol implementation
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Jul 3, 2021 - Python
This repository explores federated deep generative models with PyTorch, featuring Conditional DCGAN, FedGAN v2, and custom synchronization strategies. It demonstrates client-server training with FedAvg, non-IID data splits, and GAN evaluation, providing a foundation for research in privacy-preserving generative modeling.
transformers pytorch differential-privacy edge-computing distributed-training federated-learning deep-generative-models federated-optimization privacy-preserving-ml diffusion-models secure-aggregation federated-gan non-iid-data federated-vae ml-reproducibility
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Oct 14, 2025 - Jupyter Notebook
Federated Learning simulation using Flower with decentralized client training, secure aggregation concepts, and SHA-256 audit logging.
python decentralized pytorch machine-learning-models sha256-crypt privacy-preserving federated-learning audit-logging secure-aggregation flower-framework
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Jan 22, 2026 - Python
Zero-knowledge federated learning with lattice-based encryption and homomorphic aggregation for privacy-preserving, quantum-secure AI.
cryptography ring-lwe post-quantum-cryptography homomorphic-encryption zero-knowledge privacy-preserving federated-learning verifiable-computation zkp secure-aggregation bfv lattice-based-cryptography ml-kem byzantine-robust module-lwe
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Mar 17, 2026 - Python
A Privacy-Preserving Federated Learning Framework for the European Health Data Space.
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Mar 9, 2026 - Python
Comparison of several approaches for the PRIvate ESTimation of KL-Divergence (PRIEST-KLD)
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Nov 28, 2024 - Python
Federated Learning in Dynamic and Heterogeneous Environments for European Digital Healthcare: From Theoretical Framework to Implementation in Italian Hospitals
healthcare phd-thesis dynamic-environments differential-privacy privacy-preserving federated-learning secure-aggregation data-mesh meta-repository hl7-fhir industry-5-0 ehds digital-healthcare-governance heterogeneous-environments omop-ohdsi european-health-data-space
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Mar 19, 2026
🚀 Implement decentralized federated learning with cryptographic audits for secure, privacy-preserving model training across distributed clients.
nlp shell ios machine-learning algorithm framework programming ai beginner-project scikit-learn grpc project flower audit-logging secure-aggregation federated-learning-framework federated-analytics fleet-learning
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Apr 2, 2026 - Python
Implementation of the Privacy Preserving Machine Learning with Homomorphic Encryption Described in Deliverable D3.1 of project Harpocrates, available at https://zenodo.org/records/15298272
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Oct 6, 2025 - Python
Core federated learning framework for distributed model training with privacy-preserving collaboration.
machine-learning ai pytorch distributed-training privacy-preserving federated-learning secure-aggregation
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Mar 27, 2026 - Python
Privacy-preserving ML components for secure training, private inference, and compliant data workflows.
security machine-learning encryption differential-privacy privacy-preserving federated-learning secure-aggregation
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Mar 27, 2026 - Python
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