timmers / awesome-federated-learningLinks
A curated list of resources dedicated to federated learning.
☆104Updated 3 years ago
Alternatives and similar repositories for awesome-federated-learning
Users that are interested in awesome-federated-learning are comparing it to the libraries listed below
Sorting:
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆479Updated 2 years ago
- resources about federated learning and privacy in machine learning☆539Updated last year
- ☆169Updated 7 years ago
- Privacy Preserving Vertical Federated Learning☆220Updated 2 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆341Updated 3 years ago
- Code for NIPS'2017 paper☆51Updated 5 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆146Updated 6 years ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago
- Federated Multi-Task Learning☆131Updated 7 years ago
- tf implementation of federated learning☆42Updated 6 years ago
- Simulate a federated setting and run differentially private federated learning.☆382Updated 8 months ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- Related material on Federated Learning☆26Updated 5 years ago
- ☆72Updated 2 years ago
- Federated Learning on XGBoost☆46Updated 6 years ago
- vertical federated learning paper lists☆77Updated 4 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated last year
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- Galaxy Federated Learning Framework (星际联邦学习框架)☆254Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆307Updated last year
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- ☆109Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- list of differential-privacy related resources☆317Updated 10 months ago
- Differential private machine learning☆195Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 2 years ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Updated 2 years ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆521Updated 2 months ago