GuanyunFeng / federated_recommendationLinks
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
Alternatives and similar repositories for federated_recommendation
Users that are interested in federated_recommendation 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…☆120Updated 8 months ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- ☆20Updated 2 years ago
- 建立基于差分隐私的贝叶斯网络，使得结构化数据同时兼备隐私性与效用性☆28Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated 3 months ago
- 区块链+联邦学习+恶意检测算法☆28Updated 4 years ago
- An implementation of Deep Learning with Differential Privacy☆25Updated 2 years ago
- Useful tools for differential privacy☆216Updated 2 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Paper notes and code for differentially private machine learning☆359Updated 7 months ago
- 基于同态加密的联邦学习安全聚合系统☆45Updated 4 years ago
- 联邦学习隐私保护综述☆34Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆35Updated 4 years ago
- 自己的个人毕设，联邦学习相关，主要是多方安全计算中秘密分享的一种算法实现，以完成不需要第三方的安全隐私传输。（An algorithm implementation of secret sharing in multi-party secure computing to c…☆18Updated 3 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- ☆62Updated 5 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
- 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
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆63Updated 5 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆164Updated 2 years ago
- ☆35Updated 2 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
- DPSUR☆26Updated 5 months 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…☆66Updated 2 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Sample LDP implementation in Python☆129Updated last year