2 papers
cs.DC2026
PRISM: Predictive Runtime In-place Scaling and Model Selection for Edge Microservices
Uwe Gropengießer, Thomas Reuter, Dominik Schön +3
Latency-sensitive edge AI services must balance strict deadlines, output quality, and limited compute and energy budgets. However, static CPU provisioning wastes resources because…
cs.LG2025
Accelerated Training on Low-Power Edge Devices
Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Heba Khdr +3
Training on edge devices poses several challenges as these devices are generally resource-constrained, especially in terms of power. State-of-the-art techniques at the device level…