Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments 事件

Test-Time Adaptive Composition for Machine Learning as a Service (MLaaS) in IoT Environments arXiv:2606.07685v1 Announce Type: cross Abstract: The dynamic nature of Internet of Things (IoT) environments affects the long-term effectiveness of Machine Learning as a Service (MLaaS) compositions. Existing adaptive composition methods are mainly based on service replacement or re-composition, where identifying suitable substitutes is difficult and time-consuming. To address this, we propose a novel