XinJiang1994 / HFmamlLinks
☆10Updated 5 years ago
Alternatives and similar repositories for HFmaml
Users that are interested in HFmaml are comparing it to the libraries listed below
Sorting:
- Diverse Client Selection for Federated Learning via Submodular Maximization☆33Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago
- ☆96Updated 4 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96Updated 3 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- IJCAI-Personalized Federated Learning with Graph☆57Updated 2 years ago
- Releasing the source code Version1.☆177Updated 4 years ago
- This repository implements FEDL using pytorch☆56Updated 5 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆28Updated 8 months ago
- ☆33Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆78Updated 5 years ago
- ☆164Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆156Updated 3 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆70Updated 2 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☆177Updated 2 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆19Updated 2 years ago
- ☆24Updated 2 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 5 years ago
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Updated last year
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 6 years ago
- ☆22Updated 4 years ago
- The code in order to implement FedProx (ICPP 2020)☆29Updated 5 years ago
- ☆33Updated 6 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆160Updated 4 years ago