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 2 years ago
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:
- ☆16Updated 2 years ago
- ☆13Updated last year
- ☆11Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆45Updated last year
- Adaptive Offloading of Federated Learning on IoT Devices☆75Updated 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
- Federated Learning over Wireless Networks☆46Updated 3 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
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆41Updated 3 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- ☆66Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆129Updated 5 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated 2 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- ☆17Updated 5 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- This repository implements FEDL using pytorch☆55Updated 4 years ago
- Code for paper "Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters"☆13Updated last year
- this is the python implementation of the paper ```A Joint Learning and Communications Framework for Federated Learning over Wireless Netw…☆16Updated last year
- Federated learning client selection☆18Updated 2 years ago
- ☆13Updated last year
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆14Updated 2 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protoco…☆27Updated 4 years ago
- A DNN model partition demo☆31Updated 5 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆36Updated 3 years ago
- PyTorch implementation of the paper: Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Le…☆40Updated last year
- Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable Io…☆14Updated last year
- ☆11Updated 4 years ago