rruisong / pytorch_federated_learningLinks
PyTorch Federated Learning (easy to use and extend)
☆294Updated last year
Alternatives and similar repositories for pytorch_federated_learning
Users that are interested in pytorch_federated_learning are comparing it to the libraries listed below
Sorting:
- Implement FedAvg algorithm based on Tensorflow☆264Updated 5 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆661Updated last week
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Updated last year
- Overview of Federal Learning☆294Updated 2 years ago
- ☆80Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆413Updated last year
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆610Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆219Updated 3 weeks ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆113Updated 3 years ago
- ☆182Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- ☆885Updated last year
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆40Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated last year
- An easy-to-use federated learning platform☆300Updated 2 years ago
- 联邦学习模块化框架,支持各类FL。A universal federated learning framework, free to switch thread and process modes☆176Updated 6 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆314Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆77Updated last year
- Personalized federated learning codebase for research☆405Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆273Updated 3 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆33Updated 4 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆88Updated last year
- 🔬 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…☆67Updated 2 years ago
- Paper notes and code for differentially private machine learning☆372Updated 3 months ago
- Releasing the source code Version1.☆176Updated 4 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆812Updated 2 months ago