iceboundx / flakeLinks
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
Sorting:
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 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。☆38Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆73Updated 2 years ago
- ☆16Updated 2 years ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆29Updated 3 years ago
- Edge Computing AI and Smart Contract☆10Updated 2 years ago
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Updated last year
- 一个轻量型联邦学习框架，支持支持本地仿真和实际部，支持通信参量、模型、数据的自由更改，支持通信及模型各种指标的观察 开发人员：Jiaxiang Geng/Songning Gao☆26Updated 10 months ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆40Updated last year
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- [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.☆32Updated 2 years ago
- Asynchronous Federated Learning☆46Updated 2 years ago
- Active Client Selection for Federated Learning☆47Updated 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
- Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser.☆24Updated 3 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆128Updated 4 years ago
- This repository implements FEDL using pytorch☆54Updated 4 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- Federated learning client selection☆18Updated 2 years ago
- FedGS: A Federated Group Synchronization Framework Implemented by LEAF-MX.☆21Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆40Updated 2 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 3 years ago
- 联邦学习分布式训练MNist数据集☆59Updated 5 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆42Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆42Updated last year
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago