louwenxiao / Cluster_Federated_Learning
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
☆35Updated 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
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆63Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 5 months ago
- 完全去中心化联邦学习☆28Updated last year
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- ☆30Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆82Updated 9 months ago
- fully ready experiments☆37Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 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…☆63Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆43Updated 2 years ago
- Asynchronous Federated Learning☆19Updated 3 years ago
- Official Code for PACFL AAAI 2023☆43Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- ☆23Updated 2 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆26Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 2 years ago
- Asynchronous Federated Learning☆44Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆36Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆72Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 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
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆32Updated 3 years ago