Handy PyTorch implementation of Federated Learning (for your painless research)
☆470Nov 16, 2023Updated 2 years ago
Alternatives and similar repositories for Federated-Learning-in-PyTorch
Users that are interested in Federated-Learning-in-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:
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆80Feb 27, 2022Updated 4 years ago
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,436May 7, 2024Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆93Jul 25, 2024Updated last year
- A PyTorch Implementation of Federated Learning☆1,517Jul 25, 2024Updated last year
- On the Convergence of FedAvg on Non-IID Data☆274Dec 7, 2022Updated 3 years 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.
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,117Jan 25, 2026Updated 3 months ago
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,977Apr 13, 2026Updated 2 weeks ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆615Feb 26, 2024Updated 2 years ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,076May 30, 2024Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆675Jan 25, 2026Updated 3 months ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆826Oct 20, 2025Updated 6 months ago
- Implement FedAvg algorithm based on Tensorflow☆266Dec 6, 2020Updated 5 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆752Mar 25, 2026Updated last month
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆730Nov 16, 2025Updated 5 months ago
- 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.
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆728Mar 24, 2023Updated 3 years ago
- (SIGKDD 2022) Connected Low-Loss Subspace Learning for a Personalization in Federated Learning (https://arxiv.org/abs/2109.07628)☆31Jul 18, 2024Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆320Jan 3, 2026Updated 3 months ago
- Code and data accompanying the FedGen paper☆261Oct 31, 2024Updated last year
- ☆22Jul 20, 2022Updated 3 years ago
- Leaf: A Benchmark for Federated Settings☆903Mar 24, 2023Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆230Oct 21, 2020Updated 5 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆299Jun 27, 2022Updated 3 years ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆268Aug 26, 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.
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆125Jul 1, 2022Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆311Apr 18, 2022Updated 4 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,012Sep 3, 2022Updated 3 years ago
- An experimental platform for federated learning.☆628Jun 4, 2025Updated 10 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆181May 26, 2022Updated 3 years ago
- Flower: A Friendly Federated AI Framework☆6,872Updated this week
- PyTorch Federated Learning (easy to use and extend)☆300Jan 4, 2024Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆61Jul 20, 2021Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132May 20, 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.
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆80Jan 10, 2026Updated 3 months ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆182Feb 27, 2023Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- An easy-to-use federated learning platform☆1,531Aug 10, 2024Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆194Apr 11, 2025Updated last year
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆115Jun 28, 2022Updated 3 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆319Apr 14, 2023Updated 3 years ago