lunan0320 / FedPHE
Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
☆26Updated 2 months ago
Alternatives and similar repositories for FedPHE:
Users that are interested in FedPHE are comparing it to the libraries listed below
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆60Updated 3 years ago
- personal implementation of secure aggregation protocol☆43Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆37Updated last year
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated last year
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆28Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆111Updated 5 months ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆18Updated 2 years ago
- A secure aggregation system for private federated learning☆39Updated 10 months ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆68Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- Multi‐key homomorphic encryption based on MKCKKS☆19Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆84Updated 5 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- 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
- DPSUR☆26Updated 2 months ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- ☆33Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆66Updated 6 months ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆9Updated 3 years ago
- Paper Notes in MPC with Applications to PPML☆67Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 5 months ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆15Updated last year
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated last year
- ☆36Updated 3 years ago