<ul><li>Artificial intelligence has been integrated into nearly every aspect of daily life, but often detached from individual users.</li><li>ML Mule proposes a mobile-driven approach to address privacy concerns and provide real-time, personalized experiences.</li><li>ML Mule utilizes individual mobile devices as 'mules' to train and transport model snapshots through physical spaces.</li><li>ML Mule converges faster and achieves higher model accuracy compared to existing methods.</li></ul>

ML Mule: Mobile-Driven Context-Aware Collaborative Learning

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