In this article, we study the problem of distributed cooperative learning, where a group agents seeks to agree on set hypotheses that best describes sequence private observations. scenario is large, propose belief update rule share compressed (either sparse or quantized) beliefs with an arbitrary positive compression rate. Our algorithm leverages unified communication enables access wide-rangin...