Author

Riquan Zhang

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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.

Leming Wu, Yaochu Jin, Han Yu et al. · 0 citations

Preprint Aug 2026

Can Large Language Models Explain Flight Safety Events? A Prior-Guided Semantic LLM-based Approach

FlightLLM, a prior-guided semantic LLM-based approach for interpretable flight safety analysis that achieves competitive classification performance while generating direct and reasonable explanations for event causes is proposed.

Lu Xu, Xu Li, Linjiang Zheng et al. · 0 citations