Abstract: With the advent and the growing usage of Machine Learning as a Service (MLaaS), cloud and network systems are now offering the possibility to deploy ML tasks on heterogeneous clusters. Then, ...
Abstract: This study proposes an efficient feature extraction and fusion framework that addresses the challenges of inefficient feature extraction, cross-modal alignment difficulties, and inadequate ...
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