AI RESEARCH
Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI
arXiv CS.LG
•
ArXi:2604.24492v1 Announce Type: cross Designing deep networks that meet strict latency and accuracy constraints on edge accelerators increasingly relies on hardware-aware optimization, including neural architecture search (NAS) guided by device-level metrics. Yet most hardware-aware NAS pipelines still optimize architectures under full-precision assumptions and apply low-precision adaptation only after the search, leading to a mismatch between optimization-time behavior and deployment-time execution on low-precision hardware that can substantially degrade accuracy.