Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data

1 code implementation • 6 Nov 2023 • Bishal Thapaliya, Esra Akbas, Jiayu Chen, Raam Sapkota, Bhaskar Ray, Pranav Suresh, Vince Calhoun, Jingyu Liu

Resting-state functional magnetic resonance imaging (rsfMRI) is a powerful tool for investigating the relationship between brain function and cognitive processes as it allows for the functional organization of the brain to be captured without relying on a specific task or stimuli.

SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training

no code implementations • 15 Apr 2023 • Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince Calhoun, Sergey Plis

Federated learning (FL) enables the training of a model leveraging decentralized data in client sites while preserving privacy by not collecting data.

Federated Learning