Conceptio
›
Archive
›
arXiv (All)
arXiv (All)
open access
Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
Zhang, Jierui et al.
arXiv (All) · Papers · License: Open Access
Open Source ↗
Direct PDF ↓
information-theory
networking-and-internet-architecture
information theory, artificial intelligence, machine learning, networking and internet architecture
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Related documents
Are Human-Aligned Models Models of Humans? A Turing-Test Gap in Preference Alignment
#1052296
RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
#1052293
ScholarStack: Layered Research Asset Orchestration and Cross-Task Reuse for Scientific Agents
#1052298
Density-Ratio Rescoring for Imbalanced Classification Using Raking Duals and Classifier Scores
#1052300
Testing, not presuming, adequacy: calibrating generative social simulators against emergent network structure
#1052301
Record
· ID 820377
Retrieved via
Conceptio
— every document is proof-bundled with source, license, and retrieval metadata.