TRUST-TUDa / SAFELearnLinks
Secure Aggregation for FL
☆35Updated last year
Alternatives and similar repositories for SAFELearn
Users that are interested in SAFELearn are comparing it to the libraries listed below
Sorting:
- A secure aggregation system for private federated learning☆41Updated last year
- Secure Aggregation for Federated Learning with Malicious Actors☆25Updated 2 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- ☆87Updated 5 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Updated 2 years ago
- personal implementation of secure aggregation protocol☆46Updated last year
- Paper Notes in MPC with Applications to PPML☆69Updated last year
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- ☆28Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆21Updated 4 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated last month
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆30Updated 4 months ago
- ☆37Updated 6 months ago
- Fast Privacy-Preserving Machine Learning on the GPU☆82Updated 3 years ago
- Privacy preserving vertical federated learning for tree-based models☆27Updated 3 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆11Updated 3 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆37Updated last year
- pMPL: A Robust Multi-Party Learning Framework with a Privileged Party. This project is connected with the publication @ ACM CCS 2022.☆17Updated 9 months ago
- ☆105Updated 3 years ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 3 years ago
- MPC team of Security Group in HITSZ☆20Updated last month
- ☆67Updated 6 years ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆112Updated last year
- Practical Privacy-Preserving K-means Clustering (PETS-2020)☆34Updated 3 years ago