zhongjian-zhang / FederalLearning
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
☆33Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for FederalLearning
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆41Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆23Updated 2 years ago
- Asynchronous Federated Learning☆43Updated last year
- 完全去中心化联邦学习☆17Updated 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…☆56Updated last year
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆20Updated last year
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆61Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆115Updated last year
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆55Updated 9 months ago
- ☆30Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆234Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆97Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆42Updated last year
- Active Client Selection for Federated Learning☆41Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆79Updated 3 months ago
- Federated learning client selection☆15Updated last year
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆17Updated 3 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆108Updated 4 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆24Updated 3 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆43Updated last year
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆31Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆57Updated last year
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆21Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆32Updated last year
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆64Updated 2 years ago
- 联邦学习分布式训练MNist数据集☆52Updated 5 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆67Updated 2 years ago
- 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☆34Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- We will implement this framework.☆29Updated 2 years ago