Master Federated Learning in 2 Hours—Run It on Your PC!
☆2,065Jan 25, 2026Updated last month
Alternatives and similar repositories for PFLlib
Users that are interested in PFLlib are comparing it to the libraries listed below
Sorting:
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆224Nov 29, 2025Updated 3 months ago
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,948Oct 5, 2025Updated 4 months ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆673Jan 25, 2026Updated last month
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,064May 30, 2024Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆822Oct 20, 2025Updated 4 months ago
- Personalized federated learning codebase for research☆411Oct 4, 2023Updated 2 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆613Feb 26, 2024Updated 2 years ago
- 联邦学习☆1,151Mar 14, 2023Updated 2 years ago
- An easy-to-use federated learning platform☆1,510Aug 10, 2024Updated last year
- An experimental platform for federated learning.☆619Jun 4, 2025Updated 8 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆149Nov 11, 2024Updated last year
- A PyTorch Implementation of Federated Learning☆1,501Jul 25, 2024Updated last year
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆722Mar 24, 2023Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Apr 18, 2022Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆175May 26, 2022Updated 3 years ago
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,430May 7, 2024Updated last year
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,002Sep 3, 2022Updated 3 years ago
- ☆184Mar 14, 2023Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Dec 9, 2024Updated last year
- Model-Contrastive Federated Learning (CVPR 2021)☆299Jun 27, 2022Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Nov 7, 2022Updated 3 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆731Nov 16, 2025Updated 3 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆184Mar 16, 2021Updated 4 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆90Feb 24, 2023Updated 3 years ago
- ☆887Jul 27, 2024Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 3 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆97Apr 24, 2023Updated 2 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆63Dec 27, 2024Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆315Jan 3, 2026Updated last month
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]☆197Feb 14, 2023Updated 3 years ago
- FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a …☆4,008Oct 28, 2025Updated 4 months ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆179Feb 27, 2023Updated 3 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
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Dec 26, 2024Updated last year
- ☆84Oct 23, 2024Updated last year
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆272Nov 13, 2025Updated 3 months ago
- Leaf: A Benchmark for Federated Settings☆900Mar 24, 2023Updated 2 years ago