Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
Implementation of dp-based federated learning framework using PyTorch
☆297Updated 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
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆373Updated 5 months ago
- Paper notes and code for differentially private machine learning☆353Updated 4 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆126Updated last year
- Privacy Preserving Vertical Federated Learning☆218Updated last year
- On the Convergence of FedAvg on Non-IID Data☆264Updated 2 years ago
- Code and data accompanying the FedGen paper☆251Updated 5 months ago
- ☆172Updated 5 months ago
- ☆19Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆235Updated 8 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆169Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆142Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆246Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆142Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆186Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆588Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆294Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆152Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆121Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆190Updated 11 months ago
- Accenture Labs Federated Learning☆98Updated last year
- ☆175Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆291Updated 8 months ago
- Differential private machine learning☆191Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆371Updated 3 weeks ago
- PyTorch Federated Learning (easy to use and extend)☆247Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated last month
- Handy PyTorch implementation of Federated Learning (for your painless research)☆430Updated last year
- This repository contains all the implementation of different papers on Federated Learning☆43Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆81Updated 8 months ago