thecrabsterchief / Federated-Learning-meets-Homomorphic-EncryptionLinks
Homomorphic Encryption and Federated Learning based Privacy-Preserving
☆71Updated 2 years ago
Alternatives and similar repositories for Federated-Learning-meets-Homomorphic-Encryption
Users that are interested in Federated-Learning-meets-Homomorphic-Encryption are comparing it to the libraries listed below
Sorting:
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆32Updated last month
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- ☆14Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆23Updated 3 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆40Updated last year
- personal implementation of secure aggregation protocol☆46Updated last year
- Multi‐key homomorphic encryption based on MKCKKS☆20Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology …☆32Updated last year
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- A secure aggregation system for private federated learning☆41Updated last year
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆125Updated 10 months ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 6 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- Paper Notes in MPC with Applications to PPML☆70Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆303Updated 2 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 3 months ago
- ☆20Updated last year
- Privacy Preserving Federated Learning on a Deep Neural Network☆8Updated 5 years ago
- Materials about Privacy-Preserving Machine Learning☆254Updated 5 months ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆16Updated 2 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated 2 years ago
- Single & Multi Key Homomorphic Encryption Library☆19Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 5 years ago
- Secure Aggregation for FL☆35Updated last year
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆80Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year