Implement FedAvg algorithm based on Tensorflow
☆266Dec 6, 2020Updated 5 years ago
Alternatives and similar repositories for FedAvg
Users that are interested in FedAvg are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- On the Convergence of FedAvg on Non-IID Data☆273Dec 7, 2022Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- A PyTorch Implementation of Federated Learning☆1,515Jul 25, 2024Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆93Jul 25, 2024Updated last year
- ☆890Jul 27, 2024Updated 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.
- 联邦学习☆1,151Mar 14, 2023Updated 3 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆728Mar 24, 2023Updated 3 years ago
- 联邦学习可视化☆16Apr 10, 2026Updated last month
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆134Sep 30, 2024Updated last year
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,436May 7, 2024Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆61Jul 20, 2021Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Jan 29, 2024Updated 2 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆470Nov 16, 2023Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆114Jun 28, 2022Updated 3 years ago
- 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.
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,127Jan 25, 2026Updated 3 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆229Oct 21, 2020Updated 5 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆194Apr 11, 2025Updated last year
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,075May 30, 2024Updated last year
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Oct 6, 2023Updated 2 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆617Feb 26, 2024Updated 2 years ago
- personal implementation of secure aggregation protocol☆44Feb 6, 2024Updated 2 years ago
- A federated learning demo for AlexNet on CIFAR-10 dataset, basing on Tensorflow.☆61Apr 6, 2021Updated 5 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,014Sep 3, 2022Updated 3 years ago
- 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.
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Apr 28, 2025Updated last year
- Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习☆634Apr 28, 2021Updated 5 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆421Oct 26, 2024Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆825Oct 20, 2025Updated 7 months ago
- ☆24Nov 11, 2022Updated 3 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Dec 15, 2020Updated 5 years ago
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习(clustered federated learning, CFL)的新方法,该方法的特点是基于社区检测(community detection)来进…☆71Mar 29, 2023Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆55May 28, 2024Updated last year
- ☆75Oct 30, 2023Updated 2 years ago
- 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.
- An experimental platform for federated learning.☆627Jun 4, 2025Updated 11 months ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Jun 28, 2022Updated 3 years ago
- ☆33Dec 3, 2019Updated 6 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆751Mar 25, 2026Updated last month
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆18Oct 2, 2023Updated 2 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆733Nov 16, 2025Updated 6 months ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 4 years ago