Decentralized Mixed Effects Modeling in COINSTAC
Sunitha Basodi, Rajikha Raja, Harshvardhan Gazula, Javier Tomas Romero, Sandeep R. Panta, Thomas Maullin-Sapey, Thomas E. Nichols, Vince D. Calhoun
This paper introduces a decentralized linear mixed-effects model for neuroimaging analysis, enabling large-scale collaboration without data pooling, and shows it achieves similar performance to centralized models.
Neuroinformatics · Mar 1, 2024Peer-reviewedNeuroscience