Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases
arXiv:2604.26604v1 Announce Type: new
Abstract: Federated learning (FL) trains a shared model from updates contributed by distributed clients, often implicitly assuming that contributing clients are representative of the target population. In practice…