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cs.DC2026
CoLLM: Continuous Adaptation for SLO-Aware LLM Serving on Shared GPU Clusters
Shaoyuan Huang, Yunfeng Zhao, Na Yan +5
As Large Language Models (LLMs) are increasingly adopted in edge intelligence to power domain-specific applications and personalized services, the quality and efficiency of the LLM…
eess.SP2026
Joint Scheduling of Multi-Band Radar Sensing and DNN Inference for Cross-Stage Parallelism
Yanan Du, Sai Xu, Kezhi Wang +1
This paper studies end-to-end latency minimization for a multi-band radar sensing and deep neural network (DNN) inference pipeline. Unlike conventional stage-wise designs that trea…
cs.NI2026
NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
Kechen Meng, Rongpeng Li, Yansha Deng +2
As wireless communication networks grow in scale and complexity, diverse resource allocation tasks become increasingly critical. Multi-Agent Reinforcement Learning (MARL) provides…