Granular flow in a silo demonstrates multiple non-local rheological phenomena due to the finite size of grains. We solve granular fluidity continuum model quasi-two-dimensional geometries and evaluate its ability predict these effects, including spreading and, importantly, clogging (arrest) when opening is small enough. The augmented include free-separation criterion implemented numerically wit...

The Shapley value (SV) is a fair and principled metric for contribution evaluation in cross-silo federated learning (cross-silo FL), wherein organizations, i.e., clients, collaboratively train prediction models with the coordination of parameter server. However, existing SV calculation methods FL assume that server can access raw public test data. This may not be valid assumption practice consi...