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...
