heroding77 / fedavg_encrypt
FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, differential privacy includes Laplacian mechanism differential privacy and Gaussian mechanism differential privacy.
☆111Updated 5 months ago
Alternatives and similar repositories for fedavg_encrypt:
Users that are interested in fedavg_encrypt are comparing it to the libraries listed below
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆58Updated 3 years ago
- ☆19Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- 区块链+联邦学习+恶意检测算法☆29Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆32Updated 4 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated 4 months ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆63Updated 6 months ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆18Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- DPSUR☆25Updated last month
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆37Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆122Updated last year
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- 完全去中心化联邦学习☆25Updated last year
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆68Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆61Updated 3 years ago
- ☆33Updated 2 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆26Updated last month
- ☆13Updated last year
- 联邦学习隐私保护综述☆34Updated 3 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- personal implementation of secure aggregation protocol☆43Updated last year
- 使用tensorflow2.1实现联合学习推荐模型，并加入差分隐私噪声进行隐私保护。☆51Updated last year
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆27Updated 3 years ago
- ☆77Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated 3 weeks ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆35Updated 2 years ago
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆21Updated last year