EngineerDDP / Parallel-SGD
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 2 years ago
Alternatives and similar repositories for Parallel-SGD:
Users that are interested in Parallel-SGD are comparing it to the libraries listed below
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆122Updated 4 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆92Updated 2 years ago
- Federated Learning over Wireless Networks☆45Updated 3 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆72Updated 2 years ago
- A simulation framework for Federated Learning written in PyTorch☆206Updated 2 years ago
- This repository implements FEDL using pytorch☆53Updated 4 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆267Updated 5 months ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆57Updated 4 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆39Updated 2 years ago
- FedGS: A Federated Group Synchronization Framework Implemented by LEAF-MX.☆20Updated 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
- ☆30Updated 2 years ago
- A demo of end-to-end federated learning system.☆68Updated 2 years ago
- Active Client Selection for Federated Learning☆45Updated last year
- 联邦学习分布式训练MNist数据集☆56Updated 5 years ago
- Code for our paper "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation" (https://arxiv.org/abs/2105.10883).☆24Updated 3 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆37Updated last year
- ☆16Updated 2 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years 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☆163Updated 2 months ago
- Official Pytorch implementation of "Communication-Efficient Federated Learning with Compensated Overlap-FedAvg"☆22Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆39Updated 3 years ago
- ☆65Updated 3 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
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 4 years ago