A multi-party collaborative machine learning framework
☆900Jul 6, 2026Updated 2 months ago
Alternatives and similar repositories for fedlearner
Users that are interested in fedlearner are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Federated Deep Learning in PaddlePaddle☆512Jul 26, 2023Updated 3 years ago
- An Industrial Grade Federated Learning Framework☆6,098Nov 19, 2024Updated last year
- A high performance and generic framework for distributed DNN training☆3,716Oct 3, 2023Updated 2 years ago
- A Privacy-Preserving Framework Based on TensorFlow☆551Apr 26, 2022Updated 4 years ago
- An open-source framework for machine learning and other computations on decentralized data.☆2,452Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a …☆4,065Oct 28, 2025Updated 10 months ago
- ☆113May 16, 2025Updated last year
- An easy-to-use federated learning platform☆1,543Aug 10, 2024Updated 2 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,020Sep 3, 2022Updated 4 years ago
- A Simple High Performance Computing Framework for [Federated] Machine Learning☆253Jun 20, 2025Updated last year
- Manage federated learning workload using cloud native technologies.☆435Oct 31, 2024Updated last year
- ☆143Feb 4, 2026Updated 7 months ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆340Dec 5, 2021Updated 4 years ago
- Perform data science on data that remains in someone else's server☆10,032Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- FedAI 社区中文文档☆139May 10, 2024Updated 2 years ago
- ☆47Apr 26, 2024Updated 2 years ago
- A tree-based federated learning system (MLSys 2023)☆152Jan 20, 2025Updated last year
- A framework for Privacy Preserving Machine Learning☆1,649Nov 23, 2024Updated last year
- vertical federated learning paper lists☆77Jan 5, 2021Updated 5 years ago
- Privacy Preserving Vertical Federated Learning☆222Jun 1, 2023Updated 3 years ago
- An industrial deep learning framework for high-dimension sparse data☆4,301Sep 25, 2024Updated last year
- A scalable, high-performance serving system for federated learning models☆143Dec 19, 2024Updated last year
- A lightweight parameter server interface☆1,561Mar 2, 2026Updated 6 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆535Sep 17, 2025Updated last year
- A Framework for Encrypted Machine Learning in TensorFlow☆1,242Sep 25, 2024Updated last year
- Secure collaborative training and inference for XGBoost.☆108Oct 25, 2022Updated 3 years ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆478Aug 1, 2023Updated 3 years ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Mar 12, 2022Updated 4 years ago
- Leaf: A Benchmark for Federated Settings☆911Mar 24, 2023Updated 3 years ago
- WeFe ( WeLab Federated Learning ) 是 Welab 汇立集团子公司[天冕科技](https://www.tianmiantech.com )发起的开源项目，为联邦学习生态系统 提供了一套好用的可靠的企业级联邦学习平台。☆147Apr 16, 2025Updated last year
- A Flexible and Powerful Parameter Server for large-scale machine learning☆6,791Updated this week
- A distributed graph deep learning framework.☆2,898Aug 19, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A unified framework for privacy-preserving data analysis and machine learning☆2,712Apr 24, 2026Updated 4 months ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,073Aug 3, 2026Updated last month
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆737Nov 16, 2025Updated 10 months ago
- Federated Learning Framework Benchmark (UniFed)☆48Jun 14, 2023Updated 3 years ago
- Fate operator☆50Feb 22, 2024Updated 2 years ago
- resources about federated learning and privacy in machine learning☆544Jun 26, 2024Updated 2 years ago
- Versatile framework for multi-party computation☆1,184Updated this week