Yangfan-Jiang / Federated-Learning-with-Differential-PrivacyLinks
Implementation of dp-based federated learning framework using PyTorch
☆300Updated 2 years ago
Alternatives and similar repositories for Federated-Learning-with-Differential-Privacy
Users that are interested in Federated-Learning-with-Differential-Privacy are comparing it to the libraries listed below
Sorting:
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆386Updated 7 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆127Updated 2 years ago
- ☆176Updated 7 months ago
- Paper notes and code for differentially private machine learning☆356Updated 6 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- Implement FedAvg algorithm based on Tensorflow☆251Updated 4 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆237Updated 10 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆597Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 3 years ago
- Code and data accompanying the FedGen paper☆252Updated 7 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆295Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆144Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆191Updated last month
- ☆175Updated 2 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆140Updated 3 months ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆440Updated last year
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆298Updated 10 months ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆192Updated 3 years ago
- Accenture Labs Federated Learning☆102Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆83Updated 10 months ago
- Simulate a federated setting and run differentially private federated learning.☆378Updated 2 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆117Updated 4 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆151Updated 4 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆119Updated 8 months ago