shuhao02 / flsim
inherit from https://github.com/iqua/flsim
☆9Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for flsim
- Implemented D-DQN Reinforcement Learning for device selection in Federated Learning☆39Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆34Updated last year
- ☆30Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆69Updated 2 years ago
- ☆23Updated 11 months ago
- Asynchronous Federated Learning☆17Updated 3 years ago
- A project for simulation of Asynchronous Federated Learning☆20Updated 3 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆20Updated 8 months ago
- ☆16Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆109Updated 4 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆56Updated 10 months ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆24Updated 6 months ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆32Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆71Updated 4 years ago
- Active Client Selection for Federated Learning☆41Updated last year
- A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.☆22Updated 4 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆17Updated last year
- This repo implements FedU, a multitask learning framework for federated learning☆26Updated 2 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆27Updated last year
- Adaptive Offloading of Federated Learning on IoT Devices☆68Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆88Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆132Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆34Updated 6 months ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆79Updated 3 months ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆22Updated 2 weeks 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
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆43Updated last year
- Decentralized federated learning of deep neural networks on non-iid data☆38Updated 2 years ago