InspiringGroup-Lab / martFLLinks
☆10Updated last year
Alternatives and similar repositories for martFL
Users that are interested in martFL are comparing it to the libraries listed below
Sorting:
- A secure aggregation system for private federated learning☆41Updated last year
- Paper Notes in MPC with Applications to PPML☆70Updated last year
- 该项目实现了隐私保护和可验证的卷积神经网络（CNN）测试，旨在使模型开发者能够在多个测试者提供的非公开数据上向用户证明CNN性能的真实性，同时保护模型和数据的隐私。☆14Updated last year
- ☆29Updated 2 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆40Updated last year
- Implementation for the protocols described in https://eprint.iacr.org/2023/1700☆14Updated 7 months ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆32Updated last month
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- Implementation of protocols in the paper titled "Scalable Multi-Party Computation Protocols for Machine Learning in the Honest-Majority S…☆22Updated 5 months ago
- ☆88Updated 5 years ago
- Materials about Privacy-Preserving Machine Learning☆254Updated 6 months ago
- Secure Aggregation for FL☆35Updated last year
- personal implementation of secure aggregation protocol☆46Updated last year
- Code repository for the paper at USENIX Security'24☆30Updated last year
- Repository for collection of research papers on multi-party learning.☆32Updated 2 years ago
- ☆16Updated last year
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆25Updated 2 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Updated 2 years ago
- ☆37Updated 9 months ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆51Updated 4 years ago
- ☆21Updated 2 years ago
- Python implementation of some existing functional encryption schemes for the inner product functionality☆14Updated 3 years ago
- SecMML (Queqiao): Secure MPC (multi-party computation) Machine Learning Framework.☆113Updated 2 years ago
- The zero knowledge proof system used in Delta.☆13Updated 2 years ago
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆39Updated 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
- Secure Aggregation for Federated Learning with Malicious Actors☆25Updated 2 years ago
- Paper notes and code for differentially private machine learning☆356Updated 8 months ago
- A scalable sharding solution for Blockchain based Federated Learning. SCaFL or ScaleSFL?☆69Updated 3 years ago