Federated learning (FL) enables collaborative model training in Internet of Things (IoT)-enabled healthcare environments without directly sharing raw medical data. However, shared gradients and model parameters may still expose sensitive information, and uniform privacy budgets cannot reflect different medical-data sen...
Ye-Jian Dan, Peng Yin, Yue-Lang Yang et al.· 2026 6th International Confe...· 0 citations
Results show that GAD-YOLO improves the primary traffic object detection task and yields modest positive performance differences on an independent public benchmark under the fixed experimental setting, while maintaining real-time inference capability.
A PRISMA-informed structured topical review of 87 studies is presented and a strategic agenda covering leakage-resistant datasets, uncertainty-aware graph construction, repository-level evaluation, cost-effective Graph–LLM collaboration, and graph-guided autonomous vulnerability repair is developed.
Yuan He, Haikun Lv, Xingrong Li et al.· Information· 0 citations
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