news-vt / Green-Quantized-FL-over-Wireless-Networks-An-Energy-Efficient-DesignLinks
This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design".
☆14Updated last year
Alternatives and similar repositories for Green-Quantized-FL-over-Wireless-Networks-An-Energy-Efficient-Design
Users that are interested in Green-Quantized-FL-over-Wireless-Networks-An-Energy-Efficient-Design are comparing it to the libraries listed below
Sorting:
- ☆13Updated last year
- ☆16Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆42Updated last year
- Adaptive Offloading of Federated Learning on IoT Devices☆73Updated 2 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆12Updated 2 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 4 years ago
- ☆11Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆90Updated 3 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆40Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆40Updated last year
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- Federated Learning over Wireless Networks☆46Updated 3 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆40Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 2 years ago
- Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable Io…☆13Updated last year
- ☆11Updated 2 years ago
- This repository implements FEDL using pytorch☆54Updated 4 years ago
- ☆17Updated 5 years ago
- Federated learning client selection☆18Updated 2 years ago
- DNN_Partition辅助工具，用于对pytorch模型进行简单的性能分析以及支持模型切分☆12Updated 4 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆17Updated last year
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Updated last year
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆19Updated 4 years ago
- ☆12Updated last year
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- Federated learning with model quantization☆16Updated 3 years ago