ShaShengYang / Asynchronous-Federated-LearningLinks
A simple Asynchronous Federated Learning!
☆10Updated 6 months ago
Alternatives and similar repositories for Asynchronous-Federated-Learning
Users that are interested in Asynchronous-Federated-Learning are comparing it to the libraries listed below
Sorting:
- PyTorch Federated Learning (easy to use and extend)☆264Updated last year
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆253Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆38Updated 2 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆395Updated 8 months ago
- 完全去中心化联邦学习☆28Updated last year
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆30Updated 4 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆78Updated 10 months ago
- ☆20Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆123Updated 9 months ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆66Updated 7 months ago
- ☆25Updated 2 years ago
- ☆69Updated 8 months ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆151Updated 6 months ago
- Code for "Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning", IEEE Transactions on Computers☆12Updated last year
- 联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes☆171Updated last month
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆129Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆131Updated 5 years ago
- Releasing the source code Version1.☆166Updated 3 years ago
- 区块链+联邦学习+恶意检测算法☆28Updated 4 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆618Updated 3 weeks ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆110Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆178Updated last month
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Updated 10 months ago