3 citations · 5 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Supporting UAVs with Edge Computing: A Review of Opportunities and Challenges
Malte Janßen, Tobias Pfandzelter, Minghe Wang +1
Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements in sensor capabilities and computational abilities, allowing for efficient autonomous naviga…
Lotus: Serverless In-Transit Data Processing for Edge-based Pub/Sub
Minghe Wang, Trever Schirmer, Tobias Pfandzelter +1
Publish-subscribe systems are a popular approach for edge-based IoT use cases: Heterogeneous, constrained edge devices can be integrated easily, with message routing logic offloade…