XinJiang1994 / HFmamlLinks
☆10Updated 4 years ago
Alternatives and similar repositories for HFmaml
Users that are interested in HFmaml are comparing it to the libraries listed below
Sorting:
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆91Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆32Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 2 years ago
- ☆31Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆76Updated 4 years ago
- ☆96Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆46Updated 2 years ago
- ☆33Updated 5 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆20Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆63Updated 10 months ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Releasing the source code Version1.☆166Updated 3 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆169Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Updated 2 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆250Updated last year
- This repo implements FedU, a multitask learning framework for federated learning☆28Updated 2 months ago
- The code in order to implement FedProx (ICPP 2020)☆28Updated 4 years ago
- ☆160Updated 2 years ago
- Federated Dynamic Sparse Training☆30Updated 3 years ago
- A simulation framework for Federated Learning written in PyTorch☆207Updated 3 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆69Updated 2 years ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 3 years ago
- ☆22Updated 4 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆217Updated 4 years ago