A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
☆823Oct 20, 2025Updated 4 months ago
Alternatives and similar repositories for FedLab
Users that are interested in FedLab are comparing it to the libraries listed below
Sorting:
- Standard federated learning implementations in FedLab and FL benchmarks.☆156Jan 29, 2024Updated 2 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,089Jan 25, 2026Updated last month
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆614Feb 26, 2024Updated 2 years ago
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,957Oct 5, 2025Updated 5 months ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,069May 30, 2024Updated last year
- 联邦学习☆1,149Mar 14, 2023Updated 3 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,005Sep 3, 2022Updated 3 years ago
- An experimental platform for federated learning.☆626Jun 4, 2025Updated 9 months ago
- An easy-to-use federated learning platform☆1,522Aug 10, 2024Updated last year
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆729Nov 16, 2025Updated 4 months ago
- Leaf: A Benchmark for Federated Settings☆904Mar 24, 2023Updated 2 years ago
- A PyTorch Implementation of Federated Learning☆1,509Jul 25, 2024Updated last year
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,434May 7, 2024Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆675Jan 25, 2026Updated last month
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆725Mar 24, 2023Updated 2 years ago
- Personalized federated learning codebase for research☆412Oct 4, 2023Updated 2 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆412Dec 18, 2023Updated 2 years ago
- FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a …☆4,018Oct 28, 2025Updated 4 months ago
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year
- An easy-to-use federated learning platform☆300Aug 23, 2023Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆122Oct 22, 2020Updated 5 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆308Apr 18, 2022Updated 3 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆746Jun 10, 2025Updated 9 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Nov 16, 2022Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Oct 21, 2020Updated 5 years ago
- ☆184Mar 14, 2023Updated 3 years ago
- Tutorials and paper lists for federated learning☆71Oct 18, 2025Updated 5 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆167Nov 7, 2022Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆300Jun 27, 2022Updated 3 years ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆179Feb 27, 2023Updated 3 years ago
- ☆891Jul 27, 2024Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆225Nov 29, 2025Updated 3 months ago
- On the Convergence of FedAvg on Non-IID Data☆275Dec 7, 2022Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆149Nov 11, 2024Updated last year
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆343Dec 5, 2021Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆184Mar 16, 2021Updated 5 years ago