fangvv / FL-PQSU
Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"
☆12Updated last year
Alternatives and similar repositories for FL-PQSU:
Users that are interested in FL-PQSU are comparing it to the libraries listed below
- ☆17Updated last year
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆41Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆82Updated 2 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
- ☆31Updated 2 years ago
- Federated learning with model quantization☆14Updated 3 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆41Updated 2 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆14Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆75Updated 2 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆20Updated 10 months ago
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆12Updated last year
- ☆16Updated 4 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated last year
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆37Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆117Updated 4 years ago
- Federated learning client selection☆19Updated last year
- This repository implements FEDL using pytorch☆52Updated 4 years ago
- Active Client Selection for Federated Learning☆42Updated last year
- Federated Learning over Wireless Networks☆44Updated 3 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆38Updated 2 years ago
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆13Updated last year
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆90Updated 2 years ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆29Updated 3 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆70Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆24Updated 2 years ago
- Official Pytorch implementation of "Communication-Efficient Federated Learning with Compensated Overlap-FedAvg"☆23Updated 3 years ago
- 完全去中心化联邦学习☆22Updated last year
- We will implement this framework.☆30Updated 2 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago