drzhang3 / FedLinks
A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.
☆22Updated 4 years ago
Alternatives and similar repositories for Fed
Users that are interested in Fed are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆67Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆75Updated 4 years ago
- ☆30Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆63Updated 6 months ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆43Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆75Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆129Updated 5 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆84Updated 11 months ago
- ☆17Updated 5 years ago
- ☆95Updated 3 years ago
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆38Updated 2 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆108Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆68Updated 3 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 2 years ago
- 完全去中心化联邦学习☆28Updated last year
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 7 months ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated 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
- A simulation framework for Federated Learning written in PyTorch☆207Updated 3 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 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
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago