Dlora: Distributed parameter-efficient fine-tuning solution for large language model

C Gao, SQ Zhang - arXiv preprint arXiv:2404.05182, 2024 - arxiv.org
To enhance the performance of large language models (LLM) on downstream tasks, one
solution is to fine-tune certain LLM parameters and make it better align with the …

UniLCD: Unified Local-Cloud Decision-Making via Reinforcement Learning

K Sengupta, Z Shagguan, S Bharadwaj, S Arora… - arXiv preprint arXiv …, 2024 - arxiv.org
Embodied vision-based real-world systems, such as mobile robots, require a careful
balance between energy consumption, compute latency, and safety constraints to optimize …

VALO: A Versatile Anytime Framework for LiDAR-based Object Detection Deep Neural Networks

A Soyyigit, S Yao, H Yun - arXiv preprint arXiv:2409.11542, 2024 - arxiv.org
This work addresses the challenge of adapting dynamic deadline requirements for LiDAR
object detection deep neural networks (DNNs). The computing latency of object detection is …

Genie: Smart ROS-based Caching for Connected Autonomous Robots

Z Li, S Bateni, C Liu - arXiv preprint arXiv:2402.19410, 2024 - arxiv.org
Despite the promising future of autonomous robots, several key issues currently remain that
can lead to compromised performance and safety. One such issue is latency, where we find …

Visual SLAM with 3D Gaussian Primitives and Depth Priors Enabling Novel View Synthesis

Z Qu, Z Zhang, C Liu, J Yin - arXiv preprint arXiv:2408.05635, 2024 - arxiv.org
Conventional geometry-based SLAM systems lack dense 3D reconstruction capabilities
since their data association usually relies on feature correspondences. Additionally, learning …

[PDF][PDF] Unified Local-Cloud Decision-Making via Reinforcement Learning

K Sengupta, Z Shangguan, S Bharadwaj, S Arora… - ecva.net
Embodied vision-based real-world systems, such as mobile robots, require a careful
balance between energy consumption, compute latency, and safety constraints to optimize …