louwenxiao / Cluster_Federated_LearningLinks
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
Alternatives and similar repositories for Cluster_Federated_Learning
Users that are interested in Cluster_Federated_Learning are comparing it to the libraries listed below
Sorting:
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆89Updated last year
- Similarity Guided Model Aggregation for Federated Learning☆25Updated 3 years ago
- fully ready experiments☆38Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆70Updated 3 years ago
- ☆35Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆75Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆38Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- ☆32Updated 3 years 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…☆67Updated 2 years ago
- Accenture Labs Federated Learning☆106Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆153Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 4 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Updated 5 years ago
- ☆182Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆79Updated 3 years ago
- 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
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆86Updated last year