4 papers
NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks
Tim Johnsen, Marco Levorato
Small-scale autonomous airborne vehicles, such as micro-drones, are expected to be a central component of a broad spectrum of applications ranging from exploration to surveillance…
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation
Timothy K Johnsen, Ian Harshbarger, Zixia Xia +1
Lightweight autonomous unmanned aerial vehicles (UAV) are emerging as a central component of a broad range of applications. However, autonomous navigation necessitates the implemen…
A Multi-task Supervised Compression Model for Split Computing
Yoshitomo Matsubara, Matteo Mendula, Marco Levorato
Split computing ( split learning) is a promising approach to deep learning models for resource-constrained edge computing systems, where weak sensor (mobile) devices are wire…
Improving Multi-candidate Speculative Decoding
Xiaofan Lu, Yixiao Zeng, Feiyang Ma +2
Speculative Decoding (SD) is a technique to accelerate the inference of Large Language Models (LLMs) by using a lower complexity draft model to propose candidate tokens verified by…