wenzhu23333 / Differential-Privacy-Based-Federated-Learning
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
☆370Updated 5 months ago
Alternatives and similar repositories for Differential-Privacy-Based-Federated-Learning:
Users that are interested in Differential-Privacy-Based-Federated-Learning are comparing it to the libraries listed below
- Implementation of dp-based federated learning framework using PyTorch☆295Updated 2 years ago
- Paper notes and code for differentially private machine learning☆352Updated 4 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆587Updated last year
- Implement FedAvg algorithm based on Tensorflow☆246Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆126Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆560Updated 2 weeks ago
- PyTorch Federated Learning (easy to use and extend)☆245Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆168Updated 4 years ago
- ☆175Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆143Updated this week
- ☆19Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆147Updated 3 months ago
- On the Convergence of FedAvg on Non-IID Data☆263Updated 2 years ago
- ☆172Updated 5 months ago
- Overview of Federal Learning☆287Updated 2 years ago
- Code and data accompanying the FedGen paper☆251Updated 4 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- Handy PyTorch implementation of Federated Learning (for your painless research)☆428Updated last year
- An easy-to-use federated learning platform☆298Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆275Updated 2 years ago
- Personalized federated learning codebase for research☆374Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆120Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆111Updated 5 months ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆66Updated 6 months ago
- Releasing the source code Version1.☆149Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆152Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆81Updated 8 months ago
- ☆59Updated 5 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆141Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated last month