Optimizing Latency-Distortion Tradeoffs in Communicating Classifier Decisions over Noisy Channels

There is an interesting interplay between source distortion (distortion for the probability vector measured via f-divergence) and the subsequent channel encoding/decoding parameters, and a joint design of these parameters is crucial to navigate the latency-distortion tradeoff when communicating classifier decisions over noisy channels.