Author

Nicolae Țăpuș

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#federated learning Open access Oct 2026

Semi-supervised zero-knowledge federated learning for intelligent transportation systems

Privacy-preserving machine learning in Vehicular Ad Hoc Networks (VANETs) must address sensitive on-board data, limited ground-truth annotations, and verifiable model-update integrity. This paper proposes ZK-FL, a decentralized federated learning framework for Intelligent Transportation Systems (ITS) scene classificati...

M. Medvei, Miruna-Mihaela Modiga, Iulian Aciobăniței et al. · Frontiers in Future Transpor... · 0 citations

Open access Aug 2026

Multi-Objective Explainable AI for Risk-Aware Test Selection in Multi-Layer Continuous Integration Systems

Continuous Integration (CI) pipelines for multi-layer software systems face a tension between validation completeness and execution efficiency. Regression test selection and learned prioritization address this tension but typically operate as black boxes, offering no interpretable justification for their decisions. Thi...

Mircea-Aurelian Bădoi, Alexandra Bărcan, Alexandra Vultureanu-Albiși et al. · Electronics · 0 citations