orion-orion / FedAO
🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pytorch/Tensorflow, single-machine/distributed, synchronized/asynchronous.
☆66Updated last year
Alternatives and similar repositories for FedAO:
Users that are interested in FedAO are comparing it to the libraries listed below
- 🔬 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…☆59Updated last year
- 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☆160Updated last month
- ☆59Updated 4 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆122Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆62Updated 3 months ago
- 联邦学习隐私保护综述☆34Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆62Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆86Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆124Updated 4 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆81Updated 7 months ago
- ☆23Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆35Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆140Updated this week
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆119Updated 2 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- Tutorials and paper lists for federated learning☆67Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆76Updated 3 years ago
- ☆36Updated 3 years ago
- Releasing the source code Version1.☆146Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆167Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆146Updated 2 months ago
- Implement FedAvg algorithm based on Tensorflow☆242Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆106Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆63Updated 6 months ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆19Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆113Updated 4 years ago