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Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing
Cooperative-Caching-in-VEC-Based-on-Asynchronous-FL-and-DRL
Edge-Caching-Based-on-Multi-Agent-Deep-Reinforcement-Learning-and-Federated-Learning
VEC_DRL_Doppler
URLLC-Awared-Resource-Allocation-for-Heterogeneous-Vehicular-Edge-Computing
AFLDDPG
SMDP
Task-Offloading-in-Vfc-Assisted-Platoons
MIMO-D2D
codeResource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network
DDPG-RIS-MADDPG-POWER
MIMO-NOMA_AoI_GA
Semantic-Aware-Resource-Allocation-Based-on-Deep-Reinforcement-Learning-for-5G-V2X-HetNets
By-AFLDDPG
GNN-and-DRL-Based-Resource-Allocation-for-V2X-Communications
Joint-Optimization-of-AoI-and-Energy-Consumption-in-NR-V2X-System-based-on-DRL
AFLweight
TVT_code
Age-Fairness
Analysis-of-the-Impact-of-Multi-Priority-Queue-and-NOMA-on-Age-of-Information-in-C-V2X
The project refers to the code on the website https://github.com/alessandrobazzi/LTEV2Vsim.Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learning
Distributed-DRL-Based-Gradient-Quantization-for-Federated-Learning-Enabled-VEC
Vehicle-selection-for-C-V2X
Digital-Twin-Vehicular-Edge-Computing-Network_Task-Offloading-and-Resource-Allocation
Federated-SSL-task-offloading-and-resource-allocation
DRL-BFSSL
Semantic-Aware-Spectrum-Sharing-in-Internet-of-Vehicles-Based-on-Deep-Reinforcement-Learning
DRL-Based-Optimization-for-Information-of-Age-and-Energy-Consumption-in-C-V2X-Enabled-IoV
RIS-VEC-MARL
Vehicle-selection
Semantic-Aware-Resource-Management-for-C-V2X-Platooning-via-Multi-Agent-Reinforcement-Learning
Blockchain-enabled-Variational-Information-Bottleneck-for-IoT-Networks
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