poga / awesome-federated-learningLinks
resources about federated learning and privacy in machine learning
☆543Updated last year
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
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆523Updated 3 months ago
- Privacy Preserving Vertical Federated Learning☆221Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆740Updated 6 months ago
- Leaf: A Benchmark for Federated Settings☆895Updated 2 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆725Updated last month
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆384Updated 9 months ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆342Updated 4 years ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆708Updated 2 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆1,996Updated 3 years ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 4 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆252Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆314Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆306Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆308Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- ☆168Updated 8 years ago
- list of differential-privacy related resources☆318Updated 11 months ago
- Differential private machine learning☆198Updated 3 years ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆265Updated last year
- Galaxy Federated Learning Framework （星际联邦学习框架）☆254Updated 2 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆473Updated 3 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 8 months ago
- Federated Learning mini-framework with Keras☆35Updated 6 years ago
- This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).☆119Updated 5 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆410Updated 2 years ago