Featured Publications
Detecting model misconducts in decentralized healthcare federated learning
Kuo T, Pham A. Detecting model misconducts in decentralized healthcare federated learning. International Journal Of Medical Informatics 2021, 158: 104658. PMID: 34923447, PMCID: PMC10017272, DOI: 10.1016/j.ijmedinf.2021.104658.Peer-Reviewed Original ResearchFederated learningFederated machine learningDetection methodDetection frameworkLearning iterationsMalicious intentLearning methodsMachine learningArtificial intelligenceParameter tuningComputational costCross-institutional collaborationLearningLearning processIterationPerformance detectorsDetectionIncorrect modelFrameworkAlgorithmDatasetDetect misconductIntelligencePlagiarismMethod
2014
A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection
Lin W, Kuo T, Huang Y, Lu W, Lin S. A Transfer-Learning Approach to Exploit Noisy Information for Classification and Its Application on Sentiment Detection. Lecture Notes In Computer Science 2014, 8916: 262-273. DOI: 10.1007/978-3-319-13987-6_25.Peer-Reviewed Original Research
2012
Prediction-Based Outlier Detection with Explanations
Chen L, Kuo T, Lai W, De-Lin S, Tsai C. Prediction-Based Outlier Detection with Explanations. 2012, 44-49. DOI: 10.1109/grc.2012.6468672.Peer-Reviewed Original Research