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Yaochu Jin

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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. · 0 citations

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