Towards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence

no code implementations • 5 Jan 2024 • Ning Chen, Zhipeng Cheng, Xuwei Fan, Xiaoyu Xia, Lianfen Huang

The high-performance generative artificial intelligence (GAI) represents the latest evolution of computational intelligence, while the blessing of future 6G networks also makes edge intelligence (EI) full of development potential.

GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds

no code implementations • 3 Jul 2023 • Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai

In this paper, we propose a graph neural network-augmented deep reinforcement learning scheme (GA-DRL) for scheduling DAG tasks over dynamic VCs.

Graph Attention Scheduling