Data-Free Contribution Estimation in Federated Learning using Gradient von Neumann Entropy
arXiv:2604.22562v1 Announce Type: cross
Abstract: Client contribution estimation in Federated Learning is necessary for identifying clients’ importance and for providing fair rewards. Current methods often rely on server-side validation data or self-r…