OkayYang / federated-learning-framework
联邦学习框架、继承了FedAvg、FedProx等联邦学习算法供研究人员使用，以及隐私保护计算的应用，同态加密、差分隐私等。
☆10Updated this week
Alternatives and similar repositories for federated-learning-framework
Users that are interested in federated-learning-framework are comparing it to the libraries listed below
Sorting:
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆117Updated 7 months ago
- ☆20Updated 2 years 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
- 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）☆29Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- 基于同态加密的联邦学习安全聚合系统☆44Updated 4 years ago
- 区块链+联邦学习+恶意检测算法☆29Updated 4 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆301Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆387Updated 6 months ago
- 带加密的联邦学习，学习+练手的小作品☆20Updated 5 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆70Updated 8 months ago
- DPSUR☆26Updated 3 months ago
- 联邦学习隐私保护综述☆34Updated 3 years ago
- Paper notes and code for differentially private machine learning☆356Updated 5 months ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…☆64Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆36Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆29Updated 3 months ago
- Implement FedAvg algorithm based on Tensorflow☆250Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆128Updated last year
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated last month
- 完全去中心化联邦学习☆28Updated last year
- The project aims to evaluate the vulnerability of Federated Learning systems to targeted data poisoning attack known as Label Flipping At…☆17Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Useful tools for differential privacy☆216Updated 2 years ago