Sparsity in Federated Learning: A Survey
A novel taxonomy of sparse FL methods is introduced that systematically organizes the existing literature according to their core objectives and methodological choices, and identifies open challenges, expose research gaps, and extract guidance to help practitioners understand and adopt sparsity mechanisms in FL.