Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
☆1,438May 7, 2024Updated 2 years ago
Alternatives and similar repositories for Federated-Learning-PyTorch
Users that are interested in Federated-Learning-PyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A PyTorch Implementation of Federated Learning☆1,516Jul 25, 2024Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆730Mar 24, 2023Updated 3 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,016Sep 3, 2022Updated 3 years ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,080May 30, 2024Updated 2 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆616Feb 26, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆342Dec 5, 2021Updated 4 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆826Oct 20, 2025Updated 7 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- Handy PyTorch implementation of Federated Learning (for your painless research)☆470Nov 16, 2023Updated 2 years ago
- Leaf: A Benchmark for Federated Settings☆909Mar 24, 2023Updated 3 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,130Jan 25, 2026Updated 4 months ago
- On the Convergence of FedAvg on Non-IID Data☆272Dec 7, 2022Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆391Mar 7, 2025Updated last year
- FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a …☆4,048Oct 28, 2025Updated 7 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习☆635Apr 28, 2021Updated 5 years ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆479Aug 1, 2023Updated 2 years ago
- Code and data accompanying the FedGen paper☆263Oct 31, 2024Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆321Jan 3, 2026Updated 5 months ago
- 联邦学习☆1,150Mar 14, 2023Updated 3 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆733Nov 16, 2025Updated 6 months ago
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,992May 20, 2026Updated 3 weeks ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆228Oct 21, 2020Updated 5 years ago
- resources about federated learning and privacy in machine learning☆547Jun 26, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Fair Resource Allocation in Federated Learning (ICLR '20)☆254Dec 2, 2023Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆753Mar 25, 2026Updated 2 months ago
- An open-source framework for machine learning and other computations on decentralized data.☆2,441Updated this week
- A simulation framework for Federated Learning written in PyTorch☆207Apr 9, 2022Updated 4 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆311Apr 18, 2022Updated 4 years ago
- An easy-to-use federated learning platform☆1,532Aug 10, 2024Updated last year
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆123Oct 22, 2020Updated 5 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Apr 11, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- FedMD: Heterogenous Federated Learning via Model Distillation☆166Jun 3, 2021Updated 5 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆124Jul 1, 2022Updated 3 years ago
- Personalized federated learning codebase for research☆413Oct 4, 2023Updated 2 years ago
- ☆891Jul 27, 2024Updated last year
- An Industrial Grade Federated Learning Framework☆6,077Nov 19, 2024Updated last year
- ☆170Dec 14, 2017Updated 8 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆274Nov 13, 2025Updated 6 months ago