FedML-AI / FedMLLinks
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
☆3,866Updated 3 weeks ago
Alternatives and similar repositories for FedML
Users that are interested in FedML are comparing it to the libraries listed below
Sorting:
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆1,964Updated 2 years ago
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,353Updated last year
- Leaf: A Benchmark for Federated Settings☆887Updated 2 years ago
- An easy-to-use federated learning platform☆1,430Updated 9 months ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆1,943Updated last year
- A PyTorch Implementation of Federated Learning☆1,397Updated 10 months ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆696Updated 7 months ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆771Updated 9 months ago
- An open-source framework for machine learning and other computations on decentralized data.☆2,380Updated last week
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆597Updated last year
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆722Updated 10 months ago
- An experimental platform for federated learning.☆592Updated last week
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,738Updated this week
- Master Federated Learning in 2 Hours—Run It on Your PC!☆1,772Updated last month
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆683Updated 2 years ago
- ☆855Updated 10 months ago
- Federated Deep Learning in PaddlePaddle☆504Updated last year
- 联邦学习☆1,082Updated 2 years ago
- An easy-to-use federated learning platform☆298Updated last year
- resources about federated learning and privacy in machine learning☆536Updated 11 months ago
- Manage federated learning workload using cloud native technologies.☆426Updated 7 months ago
- Flower: A Friendly Federated AI Framework☆5,957Updated this week
- Handy PyTorch implementation of Federated Learning (for your painless research)☆440Updated last year
- Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习☆623Updated 4 years ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆476Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆596Updated last week
- A library for federated learning (a distributed machine learning process) in an enterprise environment.☆507Updated 3 weeks ago
- Training PyTorch models with differential privacy☆1,803Updated this week
- Overview of Federal Learning☆292Updated 2 years ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆259Updated 9 months ago