rubiruchi / Directed-Acyclic-Graph-for-Peer-to-Peer-Distributed-Communication-in-Vehicular-Network
Internet of things(IoT) and Internet of Vehicles(IoV) are the buzz words today. Building a smart vehicle running on a smart road that could respond to the very urgent requests such as reporting an accident ahead or basic requests such as down- loading a song at the blink of an eye is the hottest topic resea…
☆15Updated 4 years ago
Related projects: ⓘ
- Trust Management for Vehicular Networks☆10Updated 5 years ago
- SFedChain: blockchain-based federated learning scheme for secure data sharing in distributed energy storage networks☆13Updated 2 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆24Updated 5 months ago
- This paper has been accepted by IEEE MASS 2022.☆15Updated 11 months ago
- Simulation code of our paper in IEEE Transactions on Cognitive Communications and Networking: ''Energy-Efficient Blockchain-enabled User…☆40Updated 6 months ago
- Simulating communication in a VANET (Vehicular Ad-Hoc Networks), and implementing access control, using concepts from blockchains, mainta…☆11Updated 2 years ago
- ☆23Updated last year
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆29Updated 2 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆29Updated 4 months ago
- data routing and caching with DRL in vehicular network☆18Updated 4 years ago
- ☆11Updated last year
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆59Updated last year
- Migration of Edge-based Distributed Federated Learning☆23Updated last year
- Mobility-Aware Proactive Edge Caching OptimizationScheme in Information-Centric IoV Networks☆19Updated 2 years ago
- ☆15Updated 5 years ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆28Updated 2 years ago
- ☆42Updated last year
- Flexible resource allocation for edge cloud computing with reinforcement learning☆32Updated 4 years ago
- ☆51Updated last year
- 使用强化学习求解边缘计算中短视频边缘缓存策略，当前使用ddpg进行求解☆25Updated 2 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
- ☆21Updated 10 months ago
- This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforce…☆25Updated 3 years ago
- 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
- Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks☆14Updated 2 years ago
- Learning-Based Load-Aware Heterogeneous Vehicle Edge Computing☆32Updated 7 months ago
- Vehicular Network Simulator in MATLAB/Simulink Environment based on Discrete-event System. https://www.youtube.com/watch?v=wIohwbSk68I&t…☆13Updated 5 years ago
- Federated Reinforcement Learning project☆24Updated last year
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆9Updated last year
- Code for paper Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning☆21Updated 2 years ago