wfwf10 / Feature-based-Federated-Transfer-LearningLinks
Communication-Efficient Feature-based Federated Transfer Learning
☆14Updated last year
Alternatives and similar repositories for Feature-based-Federated-Transfer-Learning
Users that are interested in Feature-based-Federated-Transfer-Learning are comparing it to the libraries listed below
Sorting:
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- ☆32Updated 3 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆135Updated 5 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 3 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆92Updated 2 years ago
- 完全去中心化联邦学习☆29Updated 2 years ago
- ☆17Updated 5 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- Asynchronous Federated Learning☆48Updated 2 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆43Updated 3 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☆36Updated 3 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Updated 3 years ago
- We will implement this framework.☆32Updated 3 years ago
- ☆16Updated 2 years ago
- Including common test models for federated learning, like CNN, Resnet18 and lstm, controlled by different parser.☆24Updated 3 years ago
- Releasing the source code Version1.☆169Updated 4 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆44Updated 3 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆32Updated 4 years ago
- Federated learning client selection☆19Updated 2 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- Code for our paper "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation" (https://arxiv.org/abs/2105.10883).☆25Updated 4 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆39Updated 3 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆18Updated last year
- Implement FedAvg algorithm based on Tensorflow☆256Updated 4 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆70Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆67Updated 9 months ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆281Updated 4 months ago
- A simulation framework for Federated Learning written in PyTorch☆208Updated 3 years ago