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
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆124Updated 4 years ago
- A simulation framework for Federated Learning written in PyTorch☆207Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago
- This repository implements FEDL using pytorch☆54Updated 4 years ago
- FedGS: A Federated Group Synchronization Framework Implemented by LEAF-MX.☆22Updated 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
- 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☆170Updated 3 weeks ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆39Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆40Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 2 years ago
- 联邦学习分布式训练MNist数据集☆57Updated 5 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆171Updated 4 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆36Updated 2 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆82Updated 9 months ago
- ☆30Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆271Updated 6 months ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Federated Learning over Wireless Networks☆46Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆43Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆57Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- Implement FedAvg algorithm based on Tensorflow☆250Updated 4 years ago
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- 关于簇联邦学习的一个小小的改进。自动确定簇个数,提高簇模型精度,缓解用户孤立的问题☆35Updated 3 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- LEAF-MX is a MXNET benchmark for federated learning.☆9Updated last year