Fed-EviKG: Towards Trustworthy Federated Medical Knowledge Graph Completion via Evidential Uncertainty Quantification - researchr publication authors

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Chenxi Li, Ying Liu, Jiayi Liu, Nazhi Mu. Fed-EviKG: Towards Trustworthy Federated Medical Knowledge Graph Completion via Evidential Uncertainty Quantification. In Jianwei Niu 0002, Meikang Qiu, Cungen Cao, editors, Knowledge Science, Engineering and Management - 19th International Conference, KSEM 2026, Beijing, China, July 17-19, 2026, Proceedings, Part VII. Volume 16637 of Lecture Notes in Computer Science, pages 93-102, Springer, 2026. [doi]

This author has not been identified. Look up 'Chenxi Li' in GoogleThis author has not been identified. Look up 'Ying Liu' in GoogleThis author has not been identified. Look up 'Jiayi Liu' in GoogleThis author has not been identified. Look up 'Nazhi Mu' in Google

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