iceboundx / flake
Federated learning platform for edge computing, based on KubeEdge
☆27Updated 3 years ago
Alternatives and similar repositories for flake:
Users that are interested in flake are comparing it to the libraries listed below
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆72Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆118Updated 4 years ago
- Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'☆66Updated 3 years ago
- Active Client Selection for Federated Learning☆42Updated last year
- TPDS paper, EdgeTB: a Hybrid Testbed for Distributed Machine Learning at the Edge with High Fidelity☆17Updated 2 years ago
- A simulation framework for Federated Learning written in PyTorch☆204Updated 2 years ago
- 一个用于联邦学习或分布式机器学习,对不同网络拓扑进行实验的简易框架。☆39Updated last year
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Updated 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
- Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser.☆21Updated 2 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆29Updated 3 years ago
- Asynchronous Federated Learning☆44Updated last year
- A demo of end-to-end federated learning system.☆68Updated 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…☆56Updated last year
- ☆11Updated 4 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆79Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆35Updated last year
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆37Updated 2 years ago
- ☆17Updated last year
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- We will implement this framework.☆30Updated 2 years ago
- ☆31Updated 2 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆261Updated 4 months ago
- 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☆160Updated last month
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- This repository implements FEDL using pytorch☆52Updated 4 years ago