DashanGao / Secret-sharing-based_2PC_vertical_fed_learningLinks
MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically partitioned in two parties. A semi-honest third party is leveraged for secure federated learning.
☆24Updated 6 years ago
Alternatives and similar repositories for Secret-sharing-based_2PC_vertical_fed_learning
Users that are interested in Secret-sharing-based_2PC_vertical_fed_learning are comparing it to the libraries listed below
Sorting:
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Updated 5 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆23Updated 5 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Updated 4 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…