2024
Efficient federated learning for distributed neuroimaging data
Thapaliya B, Ohib R, Geenjaar E, Liu J, Calhoun V, Plis S. Efficient federated learning for distributed neuroimaging data. Frontiers In Neuroinformatics 2024, 18: 1430987. PMID: 39315000, PMCID: PMC11416982, DOI: 10.3389/fninf.2024.1430987.Peer-Reviewed Original ResearchFederated learningCommunication overheadsSparse modelModel sparsityClient siteTraining phaseAdolescent Brain Cognitive DevelopmentData sharingEfficient communicationLarge modelsLocal trainingResource capabilitiesDatasetCommunicationLearningSparsityActual dataOverheadsPrivacyNeuroimaging dataCognitive developmentDataScientific communitySharingPrivacy-Preserving Visualization of Brain Functional Network Connectivity
Tao Y, Sarwate A, Panta S, Plis S, Calhoun V. Privacy-Preserving Visualization of Brain Functional Network Connectivity. 2024, 00: 1-5. DOI: 10.1109/isbi56570.2024.10635222.Peer-Reviewed Original ResearchDifferential privacyProtecting sensitive informationNon-private counterpartsPre-and post-processingPrivacy-preservingPrivacy guaranteesSensitive informationPrivacy costData visualizationPrivacyBiomedical dataInvestigate several approachesNetwork connectivityPost-processingSeveral approachesVisualizationWorkflowGuaranteesCorrelation valuesTradeoffDataConnectogramsInformationDecentralized Mixed Effects Modeling in COINSTAC
Basodi S, Raja R, Gazula H, Romero J, Panta S, Maullin-Sapey T, Nichols T, Calhoun V. Decentralized Mixed Effects Modeling in COINSTAC. Neuroinformatics 2024, 22: 163-175. PMID: 38424371, DOI: 10.1007/s12021-024-09657-7.Peer-Reviewed Original ResearchLarge-scale analysis of dataDecentralized platformLow bandwidthData transferMemory requirementsData sharingSubstantial overheadsCOINSTACStructural magnetic resonance imagingNeuroimaging communityDataData poolNeuroimaging analysisOverheadsPrivacyLarge-scale analysisImagesMagnetic resonance imagingGray matter reductionsMedial frontal regionsDimensionalityLinear mixed-effectsModeling approachBandwidthResearch groups
2023
Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry
Basodi S, Raja R, Gazula H, Romero J, Panta S, Calhoun V. Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry. 2023, 00: 1-4. DOI: 10.1109/isbi53787.2023.10230684.Peer-Reviewed Original Research