Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
cs.IT, cs.AI, cs.LG, cs.NI, math.IT
Submitted: 2026-03-03
Updated: 2026-09-01
Comments: 15 pages, 14 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Parametric-Sensitivity Aware Retransmission for Efficient AI Downloading
- PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference
- Communication Efficient Cooperative Edge AI via Event-Triggered Computation Offloading
- Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
- von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification
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