CA-FMLOps: Evaluating Edge Filtering and Carbon-Aware Scheduling in Sustainable MLOps
Artificial intelligence can support climate mitigation, but the computing systems used to develop and operate it can also intensify energy demand, data movement, and greenhouse-gas emissions. This paper presents and evaluates CA-FMLOps—Carbon-Aware Frugal Machine Learning Operations—as a design-science framework for cl...