OpenMined / PyVerticalLinks
Privacy Preserving Vertical Federated Learning
☆222Updated 2 years ago
Alternatives and similar repositories for PyVertical
Users that are interested in PyVertical are comparing it to the libraries listed below
Sorting:
- Implementation of dp-based federated learning framework using PyTorch☆314Updated last month
- A Simulator for Privacy Preserving Federated Learning☆96Updated 5 years ago
- Simulate a federated setting and run differentially private federated learning.☆386Updated 11 months ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆53Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆313Updated last year
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆527Updated 4 months ago
- Differential private machine learning☆200Updated 3 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆743Updated 7 months ago
- ☆179Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 5 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆92Updated 6 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated 2 years ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆481Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆244Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Updated 3 years ago
- resources about federated learning and privacy in machine learning☆545Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 9 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- vertical federated learning paper lists☆77Updated 5 years ago
- A sybil-resilient distributed learning protocol.☆110Updated 4 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- This repository contains all the implementation of different papers on Federated Learning☆42Updated 5 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆157Updated 3 years ago
- ☆90Updated 5 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆420Updated last year
- On the Convergence of FedAvg on Non-IID Data☆275Updated 3 years ago
- A ledger for private and secure peer to peer machine learning☆111Updated 2 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆43Updated last year