google-parfait / tensorflow-federated
An open-source framework for machine learning and other computations on decentralized data.
☆2,343Updated this week
Alternatives and similar repositories for tensorflow-federated:
Users that are interested in tensorflow-federated are comparing it to the libraries listed below
- Leaf: A Benchmark for Federated Settings☆864Updated last year
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆1,936Updated 2 years ago
- A Peer-to-peer Platform for Secure, Privacy-preserving, Decentralized Data Science☆616Updated last year
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆698Updated 5 months ago
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆501Updated last year
- A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561☆1,330Updated 6 months ago
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,314Updated 8 months ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆470Updated last year
- Library for training machine learning models with privacy for training data☆1,948Updated 2 weeks ago
- An Industrial Grade Federated Learning Framework☆5,790Updated 2 months ago
- A multi-party collaborative machine learning framework☆895Updated 6 months ago
- Training PyTorch models with differential privacy☆1,740Updated this week
- resources about federated learning and privacy in machine learning☆527Updated 7 months ago
- An easy-to-use federated learning platform☆1,357Updated 5 months ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆677Updated 3 months ago
- Federated Deep Learning in PaddlePaddle☆500Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆661Updated last year
- Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习☆614Updated 3 years ago
- Manage federated learning workload using cloud native technologies.☆426Updated 2 months ago
- A framework for Privacy Preserving Machine Learning☆1,570Updated 2 months ago
- Perform data science on data that remains in someone else's server☆9,593Updated this week
- Simulate a federated setting and run differentially private federated learning.☆366Updated 5 months ago
- A Framework for Encrypted Machine Learning in TensorFlow☆1,220Updated 4 months ago
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆752Updated 5 months ago
- FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a …☆3,770Updated last week
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆1,841Updated 7 months ago
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆181Updated 3 years ago
- ☆818Updated 6 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆576Updated 11 months ago