Abstract: Traditional Network-on-Chip (NoC) architectures frequently suffer from network congestion when processing complex Convolutional Neural Network (CNN) models, primarily due to the massive data ...
Abstract: The overwhelming scale of large language models (LLMs) exhausts the on-device communication and computation resources in vehicular networks, limiting its application in performing inference ...
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