Author

Mario Colosi

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Preprint Aug 2026

DRLM: Deep Reinforcement Learning-Based LLM Query Orchestration in Edge Environments

DRLM, a Deep Reinforcement Learning-based LLM query orchestration framework in edge environments shows robust and stable orchestration, and improves latency under increasing workloads up to 61.4%, demonstrating robust and stable orchestration.

Reza Farahani, Zoha Azimi Ourimi, Mario Colosi et al. · 0 citations

Preprint Jul 2026

LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters

This paper employs five lightweight machine learning models to predict query-specific latency, accuracy, resource usage, and response size for each model-size-quantization-device combination, and design a lightweight heuristic that approximates the BILP solution.

Reza Farahani, Zoha Azimi, Mario Colosi et al. · 0 citations