CedricShang / federated-learning-masterLinks
☆20Updated 3 years ago
Alternatives and similar repositories for federated-learning-master
Users that are interested in federated-learning-master are comparing it to the libraries listed below
Sorting:
- PyTorch Federated Learning (easy to use and extend)☆296Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆40Updated 3 years ago
- Implement FedAvg algorithm based on Tensorflow☆266Updated 5 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆78Updated 2 years ago
- Overview of Federal Learning☆296Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆114Updated 3 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated 2 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…☆68Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆40Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆150Updated last year
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆420Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆142Updated 5 years ago
- ☆200Updated last year
- 使用pytorch,mnist、cifar数据集实现基础的联邦学习(平局聚合、不含加密过程)☆34Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆612Updated last year
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.☆224Updated 2 months ago
- Source code for the paper "Asynchronous Federated Optimization"☆26Updated 3 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆32Updated 3 months ago
- 联邦学习分布式训练MNist数据集☆63Updated 6 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆80Updated 3 years ago
- Personalized federated learning codebase for research☆411Updated 2 years ago
- ☆887Updated last year
- On the Convergence of FedAvg on Non-IID Data☆274Updated 3 years ago
- ☆84Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- Tutorials and paper lists for federated learning☆71Updated 3 months ago
- Implementation of dp-based federated learning framework using PyTorch☆315Updated last month