zhongjian-zhang / FederalLearningLinks
通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from Non-IID Data两篇论文,复现FedAvg与STC算法,完成LSTM模型+ Shakespeare数据集的字符预测任务
☆39Updated 3 years ago
Alternatives and similar repositories for FederalLearning
Users that are interested in FederalLearning are comparing it to the libraries listed below
Sorting:
- Implement FedAvg algorithm based on Tensorflow☆260Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆87Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- 完全去中心化联邦学习☆29Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆44Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆73Updated last year
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆280Updated last year
- ☆20Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆177Updated 4 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆129Updated last year
- 关于簇联邦学习的一个小小的改进。自动确定簇个数,提高簇模型精度,缓解用户孤立的问题☆36Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 10 months ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- Accenture Labs Federated Learning☆105Updated last year
- ☆178Updated 2 years ago
- 联邦学习分布式训练MNist数据集☆61Updated 6 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- ☆32Updated 3 years ago
- Releasing the source code Version1.☆171Updated 4 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆36Updated last year
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆84Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated 11 months ago
- 🔬 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…☆66Updated 2 years ago
- Asynchronous Federated Learning☆48Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Updated 3 years ago