heroding77 / fedavg_encryptLinks
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.
☆120Updated 8 months ago
Alternatives and similar repositories for fedavg_encrypt
Users that are interested in fedavg_encrypt are comparing it to the libraries listed below
Sorting:
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆77Updated 9 months ago
- ☆20Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated 3 months ago
- 使用pytorch,mnist、cifar数据集实现基础的联邦学习(平局聚合、不含加密过程)☆30Updated 3 years ago
- 区块链+联邦学习+恶意检测算法☆28Updated 4 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- 完全去中心化联邦学习☆28Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆65Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated 4 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated 2 years ago
- personal implementation of secure aggregation protocol☆46Updated last year
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆38Updated last year
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆31Updated this week
- DPSUR☆26Updated 4 months ago
- 联邦学习隐私保护综述☆34Updated 3 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆38Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- Research Advances in the Latest Federal Learning Papers (Updated March 27, 2023)☆14Updated last year
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 2 years ago
- Official Implementation of "Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning"☆9Updated 4 months ago
- 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。☆54Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆48Updated last year
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆21Updated last year
- This project proposes a decentralized federated learning framework based on blockchain, that is, a Block-chain-based Federated Learning f…☆114Updated 3 years ago
- The project aims to evaluate the vulnerability of Federated Learning systems to targeted data poisoning attack known as Label Flipping At…☆18Updated 3 years ago