Yun-Wei Dong

Dropout-Tolerant Privacy-Preserving Aggregation for Federated Mobile Crowdsensing

Federated Learning (FL) has emerged as a key enabler for privacy-preserving, decentralized sensing systems, giving rise to Federated Mobile Crowdsensing (F-MCS). A well-known bottleneck in such systems is the inefficiency of synchronous training, which stalls for all participants and is susceptible to stragglers in het...

Train-Trust: trustworthiness-guided loss optimization for AI-driven vulnerability detection

O-M-Flow: Ontology-Constrained Evidence Retrieval for RAG over Aviation Maintenance Documents

Aviation maintenance questions often require evidence scattered across several passages, including possible causes, exclusion statements, operating conditions, and manual references. This study presents O-M-Flow, an ontology-constrained evidence retrieval method for retrieval-augmented generation (RAG). A lightweight,...