Abstract: In this paper, we propose a novel distributed data-driven optimization scheme. In particular, we focus on the so-called aggregative framework, namely, the scenario in which a set of agents ...
Abstract: Deep learning has emerged as a cornerstone technology across various domains, from image classification to natural language processing. However, the computational and data demands of ...
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