wenzhu23333 / Differential-Privacy-Based-Federated-LearningLinks
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. )
☆392Updated 8 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
Sorting:
- Implementation of dp-based federated learning framework using PyTorch☆301Updated 2 years ago
- Paper notes and code for differentially private machine learning☆357Updated 7 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆129Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆264Updated last year
- Implement FedAvg algorithm based on Tensorflow☆253Updated 4 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆78Updated 10 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆602Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆614Updated 2 weeks ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago
- ☆20Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆122Updated 9 months ago
- ☆67Updated 8 months ago
- ☆174Updated 8 months ago
- ☆175Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆150Updated 6 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- Accenture Labs Federated Learning☆104Updated last year
- Code and data accompanying the FedGen paper☆252Updated 8 months ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆446Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 3 years ago
- Official Implementation of "Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning"☆10Updated 5 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- Releasing the source code Version1.☆165Updated 3 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 3 months ago
- 联邦学习模块化框架,支持各类FL。A universal federated learning framework, free to switch thread and process modes☆171Updated last month
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆686Updated 2 years ago
- Overview of Federal Learning☆293Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆177Updated last month