3 papers
cs.AI2026
Interference-Aware K-Step Reachable Communication in Multi-Agent Reinforcement Learning
Ziyu Cheng, Jinsheng Ren, Zhouxian Jiang +4
Effective communication is pivotal for addressing complex collaborative tasks in multi-agent reinforcement learning (MARL). Yet, limited communication bandwidth and dynamic, intric…
cs.DC2025
Spatiotemporal Traffic Prediction in Distributed Backend Systems via Graph Neural Networks
Zhimin Qiu, Feng Liu, Yuxiao Wang +3
This paper addresses the problem of traffic prediction in distributed backend systems and proposes a graph neural network based modeling approach to overcome the limitations of tra…
cs.NI2025
Structural Generalization for Microservice Routing Using Graph Neural Networks
Chenrui Hu, Ziyu Cheng, Di Wu +3
This paper focuses on intelligent routing in microservice systems and proposes an end-to-end optimization framework based on graph neural networks. The goal is to improve routing d…