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
☆40Updated 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☆264Updated 5 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆26Updated 3 years ago
- PyTorch Federated Learning (easy to use and extend)☆294Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 3 years ago
- 完全去中心化联邦学习☆31Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆77Updated last year
- ☆21Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated 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…☆67Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- Asynchronous Federated Learning☆49Updated 2 years ago
- ☆182Updated 2 years ago
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆23Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Updated 4 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☆36Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆140Updated 5 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- 联邦学习分布式训练MNist数据集☆62Updated 6 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆88Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆39Updated 2 years ago
- Accenture Labs Federated Learning☆106Updated last year
- On the Convergence of FedAvg on Non-IID Data☆273Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆38Updated last year