AI RESEARCH
A PAC-Bayesian Analysis of Channel-Induced Degradation in Edge Inference
arXiv CS.LG
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ArXi:2601.10915v2 Announce Type: replace-cross In the emerging paradigm of edge learning, neural networks (NNs) are partitioned across distributed edge devices that collaboratively perform inference via wireless transmission. However, deploying NNs for edge inference over wireless channels inevitably leads to performance degradation, as the exact channel realizations in the inference stage are not known in the