orion-orion / FedAOLinks
🔨 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 2 years ago
Alternatives and similar repositories for FedAO
Users that are interested in FedAO are comparing it to the libraries listed below
Sorting:
- 🔬 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
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Updated 11 months ago
- PyTorch Federated Learning (easy to use and extend)☆293Updated 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☆176Updated 6 months ago
- ☆182Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated last year
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆75Updated last year
- Implement FedAvg algorithm based on Tensorflow☆263Updated 5 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆89Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆30Updated 3 years ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆216Updated 2 weeks ago
- ☆26Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- ☆80Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆166Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆39Updated 3 years ago
- Tutorials and paper lists for federated learning☆68Updated last month
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆26Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆86Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆94Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆153Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆55Updated 2 months ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆123Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- Pytorch implementations of some general federated optimization methods.☆49Updated last year