Skyd-FL / SCFL
☆10Updated 10 months ago
Alternatives and similar repositories for SCFL:
Users that are interested in SCFL are comparing it to the libraries listed below
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things☆52Updated 4 months ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆20Updated 10 months ago
- ☆23Updated last year
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆25Updated 8 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- ☆16Updated 3 years ago
- Asynchronous Federated Learning☆18Updated 3 years ago
- Federated learning with model quantization☆14Updated 3 years ago
- demo☆20Updated 3 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆24Updated 2 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆47Updated last year
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆20Updated last year
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆15Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 4 months ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆16Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆34Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆82Updated 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
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- This repo implements FedU, a multitask learning framework for federated learning☆26Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆74Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆59Updated last month
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆14Updated 7 months 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
- ☆31Updated 2 years ago
- ☆23Updated 3 years ago
- fully ready experiments☆35Updated 2 years ago