charleslipku / LotteryFL
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Computing)
☆41Updated 2 years ago
Alternatives and similar repositories for LotteryFL:
Users that are interested in LotteryFL are comparing it to the libraries listed below
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆82Updated 2 years ago
- ☆23Updated 3 years ago
- Federated Dynamic Sparse Training☆29Updated 2 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆41Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆75Updated 2 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆24Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 5 months ago
- Code for ScaleFL☆30Updated last year
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- ☆23Updated last year
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- ☆31Updated 2 years ago
- Official Pytorch implementation of "Communication-Efficient Federated Learning with Compensated Overlap-FedAvg"☆23Updated 3 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆26Updated 2 years ago
- fully ready experiments☆35Updated 2 years ago
- demo☆20Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 3 years ago
- Technique of Ordered Dropout as used in the paper "Fjord: Fair and accurate federated learning under heterogeneous targets with ordered d…☆10Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆84Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆40Updated last year
- ☆15Updated 2 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆69Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆60Updated last month
- Federated learning with model quantization☆14Updated 3 years ago
- ☆54Updated 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☆157Updated last year
- ☆28Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago