Abstract: Recent advances in large language models (LLMs) have demonstrated exceptional reasoning capabilities in natural language processing, sparking interest in applying LLMs to task planning ...
Abstract: This paper introduces a novel multi-agent federated deep reinforcement learning (MA-FDRL) framework designed to minimize vehicular task offloading latency in electrified road (eROAD) ...
This is the official repository for our WACV 2025 paper, "A Multi-task Supervised Compression Model for Split Computing". Split computing (/= split learning) is a promising approach to deep learning ...
This Racist SNAP Video Is Everywhere Online — And Everyone Should Be Alarmed Virginia Giuffre's memoir reveals intimate details about her family life, children A mild symptom was bothering him.
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