Conference
Open access
Sep 2026
FedEvoQ: Evolutionary Diversity Probing for Data-Quality-Aware Federated Aggregation
This work proposes a data-Quality-aware aggregation framework by introducing an Evolutionary-computation-inspired de-sign into Federated learning ( FedEvoQ), with a lightweight dual-branch architecture.
Le-Ming Wu, Yao-Chu Jin, Han Yu et al.
· Proceedings of the Thirty-Fi... · 0 citations