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. )
☆375Updated 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☆299Updated 2 years ago
- Paper notes and code for differentially private machine learning☆355Updated 4 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆127Updated last year
- Implement FedAvg algorithm based on Tensorflow☆248Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆589Updated last year
- PyTorch Federated Learning (easy to use and extend)☆251Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆568Updated 2 weeks ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆147Updated last week
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆170Updated 4 years ago
- ☆175Updated 2 years ago
- ☆19Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 5 months ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆679Updated 2 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆435Updated last year
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆149Updated 3 months ago
- Personalized federated learning codebase for research☆378Updated last year
- 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☆167Updated 2 weeks ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆235Updated 8 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆82Updated 8 months ago
- Model-Contrastive Federated Learning (CVPR 2021)☆278Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆142Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆294Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆191Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆121Updated 2 years ago
- ☆172Updated 5 months ago
- Overview of Federal Learning☆288Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆68Updated 7 months ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆763Updated 8 months ago