tayebiarasteh / federated_heLinks
Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.
☆32Updated 2 years ago
Alternatives and similar repositories for federated_he
Users that are interested in federated_he are comparing it to the libraries listed below
Sorting:
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Updated 11 months ago
- Homomorphic Encryption and Federated Learning based Privacy-Preserving☆73Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆71Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆53Updated 2 years ago
- ☆14Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆28Updated 4 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆41Updated 5 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆314Updated 3 weeks ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Updated 5 years ago
- FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference☆16Updated 2 years ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆24Updated 3 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Updated 3 years ago
- Multi‐key homomorphic encryption based on MKCKKS☆20Updated 3 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆91Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 5 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- Python implementation of differential privacy using Laplace mechanism☆11Updated 3 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆91Updated 6 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 3 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆26Updated 10 months ago
- Codes of PrivateKT☆15Updated 2 years ago
- personal implementation of secure aggregation protocol☆45Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆155Updated 11 months ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆79Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆21Updated 2 weeks ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year