D. Mišković

Adaptive Unequal Error Protection for Semantic Split Learning Over Wireless Channels

We propose a task-aware semantic split learning (SL) framework for wireless edge–cloud inference, in which the reliability of transmitted latent representations is dynamically adapted to their relevance for the downstream task. An autoencoder (AE)-based physical (PHY) layer enables end-to-end learning of the communicat...