4 papers
PLAIground: SLO-Driven Runtime Model Selection for Compound AI Systems in the Edge-Cloud-Space Continuum
Milos Gravara, Cynthia Marcelino, Andrija Stanisic +1
Applications in the 3D Computing Continuum, which unifies edge, cloud, and space, require combining multiple AI tasks such as object detection, time-series analytics, and natural l…
Design Methodology and Performance Trade-offs Management for Distributed and Compound AI Systems
Milos Gravara, Andrija Stanisic, Stefan Nastic
Artificial Intelligence (AI) systems must typically satisfy service-level objectives including accuracy, latency, and cost. The prevailing model-centric approaches select a monolit…
ProbSelect: Stochastic Client Selection for GPU-Accelerated Compute Devices in the 3D Continuum
Andrija Stanisic, Stefan Nastic
Integration of edge, cloud and space devices into a unified 3D continuum imposes significant challenges for client selection in federated learning systems. Traditional approaches r…
A Novel Compound AI Model for 6G Networks in 3D Continuum
Milos Gravara, Andrija Stanisic, Stefan Nastic
The 3D continuum presents a complex environment that spans the terrestrial, aerial and space domains, with 6Gnetworks serving as a key enabling technology. Current AI approaches fo…