A multi-party collaborative machine learning framework
☆902Feb 20, 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☆516Jul 26, 2023Updated 2 years ago
- An Industrial Grade Federated Learning Framework☆6,072Nov 19, 2024Updated last year
- A high performance and generic framework for distributed DNN training☆3,715Oct 3, 2023Updated 2 years ago
- A Privacy-Preserving Framework Based on TensorFlow☆552Apr 26, 2022Updated 4 years ago
- An open-source framework for machine learning and other computations on decentralized data.☆2,436Apr 24, 2026Updated last week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a …☆4,043Oct 28, 2025Updated 6 months ago
- ☆112May 16, 2025Updated 11 months ago
- An easy-to-use federated learning platform☆1,531Aug 10, 2024Updated last year
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,012Sep 3, 2022Updated 3 years ago
- A Simple High Performance Computing Framework for [Federated] Machine Learning☆251Jun 20, 2025Updated 10 months ago
- ☆144Feb 4, 2026Updated 2 months ago
- Manage federated learning workload using cloud native technologies.☆437Oct 31, 2024Updated last year
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆343Dec 5, 2021Updated 4 years ago
- Perform data science on data that remains in someone else's server☆9,877Jul 15, 2025Updated 9 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- FedAI 社区中文文档☆138May 10, 2024Updated last year
- ☆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☆1,642Nov 23, 2024Updated last year
- vertical federated learning paper lists☆77Jan 5, 2021Updated 5 years ago
- Privacy Preserving Vertical Federated Learning☆222Jun 1, 2023Updated 2 years ago
- An industrial deep learning framework for high-dimension sparse data☆4,304Sep 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 last month
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A Framework for Encrypted Machine Learning in TensorFlow☆1,243Sep 25, 2024Updated last year
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆532Sep 17, 2025Updated 7 months ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Mar 12, 2022Updated 4 years ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆479Aug 1, 2023Updated 2 years ago
- Leaf: A Benchmark for Federated Settings☆903Mar 24, 2023Updated 3 years ago
- Secure collaborative training and inference for XGBoost.☆107Oct 25, 2022Updated 3 years ago
- A Flexible and Powerful Parameter Server for large-scale machine learning☆6,787Oct 13, 2025Updated 6 months ago
- A unified framework for privacy-preserving data analysis and machine learning☆2,653Apr 24, 2026Updated last week
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,056Mar 12, 2026Updated last month
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆730Nov 16, 2025Updated 5 months ago
- Federated Learning Framework Benchmark (UniFed)☆49Jun 14, 2023Updated 2 years ago
- Fate operator☆51Feb 22, 2024Updated 2 years ago
- resources about federated learning and privacy in machine learning☆547Jun 26, 2024Updated last year
- A distributed graph deep learning framework.☆2,902Aug 19, 2023Updated 2 years ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,692Dec 1, 2025Updated 5 months ago
- LightSeq: A High Performance Library for Sequence Processing and Generation☆3,300May 16, 2023Updated 2 years ago