3 papers
cs.DC2026
Neural Router: Semantic Content Matching for Agentic AI
Lauri Lovén, Abhishek Kumar, Alexander Engelhardt +5
Large language models (LLMs) can serve as the semantic-matching engine of a content-based publish/subscribe broker for agentic AI across the edge-cloud computing continuum, bridgin…
cs.DC2025
Edge-First Language Model Inference: Models, Metrics, and Tradeoffs
SiYoung Jang, Roberto Morabito
The widespread adoption of Language Models (LMs) across industries is driving interest in deploying these services across the computing continuum, from the cloud to the network edg…
cs.DC2025
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI
Roberto Morabito, SiYoung Jang
The rapid adoption of generative AI (GenAI), particularly Large Language Models (LLMs), has exposed critical limitations of cloud-centric deployments, including latency, cost, and…