Information-Theoretic Tradeoffs in Distributed Hypothesis Testing

This talk presents an information-theoretic study of the rate-performance tradeoffs in distributed hypothesis testing, with a particular focus on systems with average communication-rate constraints. Different hypothesis testing scenarios will be considered, including multi-hop sensor communications and systems with multiple decision centres, where performance tradeoffs between the various decisions arise.