news-vt / Green-Quantized-FL-over-Wireless-Networks-An-Energy-Efficient-Design
This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design".
☆11Updated last year
Related projects: ⓘ
- ☆12Updated last year
- ☆15Updated last year
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆30Updated 4 months ago
- Adaptive Offloading of Federated Learning on IoT Devices☆67Updated last year
- Migration of Edge-based Distributed Federated Learning☆23Updated last year
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆30Updated 2 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆29Updated 4 months ago
- Implemented D-DQN Reinforcement Learning for device selection in Federated Learning☆37Updated last year
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆82Updated last year
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Updated 10 months ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆24Updated last year
- Federated learning client selection☆13Updated last year
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆17Updated 3 years ago
- ☆15Updated this week
- ☆23Updated last year
- Federated Learning over Wireless Networks☆44Updated 2 years ago
- ☆61Updated 3 years ago
- A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protoco…☆25Updated 3 years ago
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆12Updated last year
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆13Updated 9 months ago
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆17Updated last year
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆9Updated last year
- This repository implements FEDL using pytorch☆47Updated 3 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆19Updated 6 months ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆59Updated last year
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆24Updated 5 months ago
- ☆16Updated 4 years ago
- ☆21Updated 10 months ago
- Federated Reinforcement Learning project☆24Updated last year
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆51Updated 3 years ago