3 papers
cs.IT2026
A PAC-Bayesian Analysis of Channel-Induced Degradation in Edge Inference
Yangshuo He, Guanding Yu, Jingge Zhu
In the emerging paradigm of edge learning, neural networks (NNs) are partitioned across distributed edge devices that collaboratively perform inference via wireless transmission. H…
cs.IT2025
Robustness in Wireless Distributed Learning: An Information-Theoretic Analysis
Yangshuo He, Guanding Yu, Huaiyu Dai
In recent years, the application of artificial intelligence (AI) in wireless communications has demonstrated inherent robustness against wireless channel distortions. Most existing…
cs.IT2024
An Information-Theoretic Framework for Out-of-Distribution Generalization with Applications to Stochastic Gradient Langevin Dynamics
Wenliang Liu, Guanding Yu, Lele Wang +1
We study the Out-of-Distribution (OOD) generalization in machine learning and propose a general framework that establishes information-theoretic generalization bounds. Our framewor…