FudanMPL / Awesome-MPLLinks
Repository for collection of research papers on multi-party learning.
☆32Updated last year
Alternatives and similar repositories for Awesome-MPL
Users that are interested in Awesome-MPL are comparing it to the libraries listed below
Sorting:
- Paper Notes in MPC with Applications to PPML☆69Updated last year
- FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for …☆50Updated this week
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 5 years ago
- Code repository for the paper at USENIX Security'24☆27Updated 9 months ago
- 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
- A secure multi-party computation library based on arithmetic secret sharing and function secret sharing.☆29Updated this week
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆30Updated 4 months ago
- ☆37Updated 6 months ago
- personal implementation of secure aggregation protocol☆46Updated last year
- A secure aggregation system for private federated learning☆41Updated last year
- MPC team of Security Group in HITSZ☆20Updated last month
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 5 years ago
- Secure Aggregation for FL☆35Updated last year
- The repo of "BumbleBee: Secure Two-party Inference Framework for Large Transformers" (NDSS 2025)☆37Updated 4 months ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆25Updated 2 years ago
- Multi‐key homomorphic encryption based on MKCKKS☆19Updated 3 years ago
- A framework for generic hybrid two-party computation and private inference with neural networks☆32Updated 2 years ago
- ☆15Updated 2 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- ☆16Updated 7 months ago
- ☆87Updated 5 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Updated 2 years ago
- MCSI☆13Updated 3 years ago
- Efficient Secure Computation Protocols for Trigonometric Functions via Function Secret Sharing☆20Updated 2 years ago
- Private Inference on Transformer☆25Updated last year
- Implementation of Distributed function secret sharing and applications☆13Updated 3 weeks ago
- A framework for secure, handy, accurate, and fast transformer inference☆14Updated 3 weeks ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆37Updated last year
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆112Updated last year