guhang987 / federated-learningLinks
☆13Updated 5 years ago
Alternatives and similar repositories for federated-learning
Users that are interested in federated-learning are comparing it to the libraries listed below
Sorting:
- ☆200Updated last year
- A simulation framework for Federated Learning written in PyTorch☆209Updated 3 years ago
- Implement FedAvg algorithm based on Tensorflow☆266Updated 5 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆293Updated 9 months ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆43Updated 2 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- ☆109Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆142Updated 5 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆40Updated 3 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆26Updated 3 years ago
- ☆33Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆275Updated 3 years ago
- Overview of Federal Learning☆296Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆95Updated 3 years ago
- Galaxy Federated Learning Framework (星际联邦学习框架)☆255Updated 3 years ago
- Code for our paper "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation" (https://arxiv.org/abs/2105.10883).☆26Updated 4 years ago
- Releasing the source code Version1.☆179Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Updated 4 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆254Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆296Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Updated 4 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☆178Updated 7 months ago
- 联邦学习分布式训练MNist数据集☆63Updated 6 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Updated 3 years ago
- ☆183Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago