2 papers
cs.SE2026
Harmonica: A Self-Adaptation Exemplar for Sustainable MLOps
Ananya Halgatti, Shaunak Biswas, Hiya Bhatt +2
Machine learning enabled systems (MLS) often operate in settings where they regularly encounter uncertainties arising from changes in their surrounding environment. Without structu…
cs.SE2025
EdgeMLBalancer: A Self-Adaptive Approach for Dynamic Model Switching on Resource-Constrained Edge Devices
Akhila Matathammal, Kriti Gupta, Larissa Lavanya +3
The widespread adoption of machine learning on edge devices, such as mobile phones, laptops, IoT devices, etc., has enabled real-time AI applications in resource-constrained enviro…