Labeling Schemes with Queries
Amos Korman, Shay Kutten
Abstract
We study the question of ``how robust are the known lower bounds of labeling schemes when one increases the number of consulted labels''. Let f be a function on pairs of vertices. An f-labeling scheme for a family of graphs labels the vertices of all graphs in such that for every graph G∈ and every two vertices u,v∈ G, the value f(u,v) can be inferred by merely inspecting the labels of u and v. This paper introduces a natural generalization: the notion of f-labeling schemes with queries, in which the value f(u,v) can be inferred by inspecting not only the labels of u and v but possibly the labels of some additional vertices. We show that inspecting the label of a single additional vertex (one query) enables us to reduce the label size of many labeling schemes significantly.
Create a lesson
Related papers
Scheduling in Cloud,Fog, and Edge Computing: A Comparative Analysis and Decision Framework for Technique Selection
Rana Ghazali, Douglas G. Down
GPU-resident Execution for Timing-predictable Sensor Processing Systems
Soham Sinha, Rahul Choudhury, Shekhar Dwivedi et al.
CompileMask: Bridging the Gap Between Expressiveness and Efficiency in Attention Masking
Hongzheng Li, Jiacheng Wan, Zhaolong Xing et al.
ShoreKeeper: Accelerating Iterative Data Analytics in the Cloud via Distributed Recovery-Cost-Aware Caching
Jongseop Lee, Minsu Sun, Xinyue Ma et al.
Stacked Intelligent Metasurface-Based MultiModal Feature Fusion for Collaborative Inference in Edge Networks
Yushi Wang, Zhengxin Yu, Guhan Zheng et al.
Taking Tokenization off the Host for Agentic LLM Serving
Mohammad Siavashi, Pascal Schwinte, Ali Banaei et al.