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:
- Useful tools for differential privacy☆216Updated 2 years ago
- Paper notes and code for differentially private machine learning☆357Updated 8 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆125Updated 10 months ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆396Updated 9 months ago
- Implement FedAvg algorithm based on Tensorflow☆253Updated 4 years ago
- Sample LDP implementation in Python☆129Updated 2 years ago
- ☆195Updated 11 months ago
- Implementation of dp-based federated learning framework using PyTorch☆303Updated 2 years ago
- An implementation of Deep Learning with Differential Privacy☆25Updated 2 years ago
- The project aims to evaluate the vulnerability of Federated Learning systems to targeted data poisoning attack known as Label Flipping At…☆19Updated 3 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☆81Updated 10 months ago
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆17Updated 2 months ago
- 区块链+联邦学习+恶意检测算法☆28Updated 4 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆64Updated 5 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- Repository for Federated Learning with Differential Privacy☆11Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- ☆64Updated 5 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆129Updated 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 3 years ago
- ☆39Updated last year
- 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
- 联邦学习分布式训练MNist数据集☆59Updated 6 years ago
- Research Advances in the Latest Federal Learning Papers (Updated March 27, 2023)☆14Updated last year