matturche / flower_opacus_exampleLinks
Example of Flower and Opacus framework working together
☆11Updated 4 years ago
Alternatives and similar repositories for flower_opacus_example
Users that are interested in flower_opacus_example are comparing it to the libraries listed below
Sorting:
- Federated Learning Course Materials☆64Updated 4 years ago
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 5 years ago
- Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.☆29Updated 5 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Source code of paper "Differentially Private Generative Adversarial Network"☆70Updated 6 years ago
- Implementation of dp-based federated learning framework using PyTorch☆308Updated 2 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 8 months ago
- Federated Learning Demo in Python using Socket Programming☆89Updated last year
- Privacy Preserving Vertical Federated Learning☆219Updated 2 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated last year
- Differentially Private (tabular) Generative Models Papers with Code☆53Updated last year
- A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…☆40Updated 5 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆24Updated 7 months ago
- Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch☆18Updated 4 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆736Updated 4 months ago
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆18Updated last year
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆519Updated last month
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- Breaching privacy in federated learning scenarios for vision and text☆307Updated 2 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆406Updated 11 months ago
- Simple simulation of federated learning (FedAvg) using Flower framework☆24Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆381Updated 7 months ago
- Simple implementation of FedAvg, a Federated Learning algorithm.☆30Updated 2 years ago
- Differential private machine learning☆195Updated 3 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆454Updated last year
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆80Updated 5 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆76Updated 2 years ago
- Implementation of a differentially private generative adversarial network.☆11Updated 6 years ago
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆17Updated 4 months ago