Riquan Zhang

FedEvoQ: Evolutionary Diversity Probing for Data-Quality-Aware Federated Aggregation

Federated learning (FL) enables collaborative training of deep models while keeping raw data on local devices. A critical factor affecting the global performance is server-side aggregation. The most common strategy weights client updates by the amount of local data, which is often unreliable as the