qiongwu86 / Distributed-DRL-Based-Gradient-Quantization-for-Federated-Learning-Enabled-VECLinks
☆14Updated last year
Alternatives and similar repositories for Distributed-DRL-Based-Gradient-Quantization-for-Federated-Learning-Enabled-VEC
Users that are interested in Distributed-DRL-Based-Gradient-Quantization-for-Federated-Learning-Enabled-VEC are comparing it to the libraries listed below
Sorting:
- ☆27Updated 2 years ago
- Simulation code for "A max-min task offloading algorithm for mobile edge computing using non-orthogonal multiple access," by V. Kumar, M.…☆26Updated 10 months ago
- Digital-twin Network Service Pre-migration Scheme for Vehicular Edge Computing☆26Updated 2 years ago
- ☆38Updated 3 years ago
- Mobility-aware Dynamic Joint Power Control and Resource Allocation for D2D underlaying cellular networks☆15Updated 5 years ago
- ☆42Updated last year
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆29Updated last year
- Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024☆29Updated last year
- ICC 2022 submit paper code☆27Updated last year
- Hybrid network simulation with base station and satellite. It enables comparing D2D caching algorithms.☆20Updated 5 years ago
- Simulation code for"A Max-Min Task Offloading Algorithm for Mobile Edge Computing Using Non-Orthogonal Multiple Access," IEEE Trans. Veh.…☆34Updated last year
- qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network☆31Updated last year
- Code for the paper "Age of Information Analysis in Edge Computing Servers"☆19Updated last year
- ☆20Updated 2 years ago
- ☆26Updated 3 years ago
- Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU☆27Updated 4 years ago
- Two-Stage Deep Energy Optimization in IRS-Assisted UAV-Based Edge Computing Systems☆22Updated 5 months ago
- A general framework for NOMA-MEC offloading☆54Updated 4 years ago
- This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"☆26Updated 3 years ago
- ☆44Updated 10 months ago
- ☆18Updated 3 years ago
- Resource allocation for Device-to-Device (D2D) communications using deep reinforcement learning.☆36Updated 5 years ago
- Evaluation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Cachin…☆49Updated 6 months ago
- IntelligentNetworkingLAB / Optimize-Deployment-and-Minimize-Data-Processing-Time-based-on-Reinforcement-learning-in-UAV-MEC-env☆16Updated 2 years ago
- Towards Heterogeneous Environment: Lyapunov-orientated ImpHetero Reinforcement Learning for Task Offloading☆26Updated 2 years ago
- Code for Globecom2020 paper: Resource Allocation based on Graph Neural Networks in Vehicular Communications☆58Updated 2 years ago
- ☆30Updated last year
- part code of paper entitled "battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks"☆24Updated 4 years ago
- Evaluation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assiste…☆75Updated 6 months ago
- ☆21Updated last year