delta-mpc / crypten_vfl_demo
vertical federated learning demo with crypten
☆45Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for crypten_vfl_demo
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆22Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- personal implementation of secure aggregation protocol☆42Updated 9 months ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆106Updated last month
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆57Updated 2 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆67Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆43Updated last year
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆16Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆81Updated 5 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 5 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆27Updated 3 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆43Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆29Updated last year
- ☆16Updated 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
- ☆78Updated 4 years ago
- ☆76Updated last year
- 联邦学习分布式训练MNist数据集☆53Updated 5 years ago
- Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning☆133Updated 3 months ago
- ☆27Updated last year
- A secure aggregation system for private federated learning☆36Updated 6 months ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 3 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆30Updated 2 years ago
- Privacy Preserving Federated Learning on a Deep Neural Network☆8Updated 4 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆34Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆57Updated last year
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago