Special Issue Call — Privacy-Preserving Federated Learning
JSC invites submissions to a forthcoming special issue on privacy-preserving federated learning. We seek contributions on differential privacy in federated settings, secure aggregation protocols, and the systems aspects of FL at scale.
Deadline for submissions: rolling. Manuscripts will be reviewed as they arrive and the issue closes when fully populated.