drzhang3 / Fed
A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.
☆22Updated 4 years ago
Alternatives and similar repositories for Fed:
Users that are interested in Fed are comparing it to the libraries listed below
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆42Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆116Updated 4 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆89Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆40Updated last year
- ☆31Updated 2 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆59Updated last year
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆67Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆34Updated last year
- A simulation framework for Federated Learning written in PyTorch☆200Updated 2 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago
- inherit from https://github.com/iqua/flsim☆9Updated 4 years ago
- Federated learning client selection☆19Updated last year
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Updated 3 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago
- ☆16Updated 4 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆18Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆20Updated 3 years ago
- Active Client Selection for Federated Learning☆42Updated last year
- ☆92Updated 3 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆24Updated 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
- Releasing the source code Version1.☆137Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆67Updated 2 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆56Updated 4 years ago
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆18Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆73Updated 4 years ago
- 完全去中心化联邦学习☆22Updated last year
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆25Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆76Updated 5 months ago
- This repository implements FEDL using pytorch☆50Updated 4 years ago