Operator-Theoretic Framework for Gradient-Free Federated Learning

Mohit Kumar, Mathias Brucker, Alexander Valentinitsch +4

Federated learning must address heterogeneity, strict communication and computation limits, and privacy while ensuring performance. We propose an operator-theoretic framework that…