wfwf10 / Feature-based-Federated-Transfer-Learning
Communication-Efficient Feature-based Federated Transfer Learning
☆14Updated 10 months ago
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:
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆92Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- ☆17Updated 5 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
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 6 months ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆38Updated 2 years ago
- Active Client Selection for Federated Learning☆46Updated 2 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago
- ☆30Updated 3 years ago
- Federated learning client selection☆18Updated 2 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆57Updated 4 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆64Updated last year
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 years ago
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆29Updated 2 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆28Updated 4 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆42Updated 2 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- Asynchronous Federated Learning☆45Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 5 months ago
- 完全去中心化联邦学习☆28Updated last year
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆17Updated last year
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆17Updated 2 months ago
- The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learni…☆14Updated 10 months ago
- ☆15Updated 2 years ago
- This repository implements FEDL using pytorch☆53Updated 4 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