paperflight / Fed-MF-MAL
This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios
☆18Updated 3 years ago
Alternatives and similar repositories for Fed-MF-MAL:
Users that are interested in Fed-MF-MAL are comparing it to the libraries listed below
- ICC 2022 submit paper code☆26Updated last year
- ☆34Updated 2 years ago
- code☆12Updated 2 years ago
- Decision making using Reinforcement Learning☆22Updated 5 years ago
- ☆26Updated 3 years ago
- ☆21Updated last year
- Simulation code for the paper "Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-based Solutions"☆16Updated 11 months ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆29Updated 11 months ago
- qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network☆22Updated 9 months ago
- Simulator developed for the mobility management of UAV base stations project featuring A3C☆14Updated 5 years ago
- ☆12Updated 4 years ago
- ☆18Updated 3 years ago
- ☆25Updated 2 years ago
- ☆25Updated last year
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆24Updated last year
- Game Theory Based Distributed Resource Allocation in Communication Networks☆25Updated 4 years ago
- ☆21Updated 9 months ago
- Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU☆26Updated 4 years ago
- ☆18Updated 2 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆29Updated 2 years ago
- D3QN framework for distributed resource allocation☆15Updated 8 months ago
- Mobility-aware Dynamic Joint Power Control and Resource Allocation for D2D underlaying cellular networks☆14Updated 4 years ago
- ☆27Updated last year
- Code for the paper On-Policy vs. Off-Policy Deep Reinforcement Learning for Resource Allocation in Open Radio Access Network☆32Updated 3 years ago
- Code for Globecom2020 paper: Resource Allocation based on Graph Neural Networks in Vehicular Communications☆53Updated last year
- A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay …☆10Updated 3 years ago
- This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"☆26Updated 2 years ago
- ☆24Updated 8 months ago
- Code of Paper "Potential Game Based Channel Allocation for Vehicular Edge Computing (基于势博弈的车载边缘计算信道分配方法)", 电子学报2021.☆47Updated 2 years ago