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cs.DC2026
FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
Minghe Wang, Trever Schirmer, Mohammadreza Malekabbasi +1
Mixture-of-Experts (MoE) models offer high capacity with efficient inference cost by activating a small subset of expert models per input. However, deploying MoE models requires al…
cs.DC2026
DisCEdge: Distributed Context Management for Large Language Models at the Edge
Mohammadreza Malekabbasi, Minghe Wang, David Bermbach
Deploying Large Language Model (LLM) services at the edge benefits latency-sensitive and privacy-aware applications. However, the stateless nature of LLMs makes managing user conte…
cs.DC2025
Exploring Influence Factors on LLM Suitability for No-Code Development of End User IoT Applications
Minghe Wang, Alexandra Kapp, Trever Schirmer +2
No-Code Development Platforms (NCDPs) empower non-technical end users to build applications tailored to their specific demands without writing code. While NCDPs lower technical bar…