Abstract: In federated learning (FL), multiple clients train a global model by sharing gradients. Since the client data remains locally, federated learning is considered privacy-safe. Although ...

This useful study presents a possible solution for a significant problem - that of draining vein sensitivity in functional MRI, which complicates the interpretability of laminar-fMRI results. The ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

These scripts provides example implementations of the time independent & dependent framework proposed in "Tendler, Investigating tissue microstructure using steady-state diffusion MRI" using both ...

In a recent research paper, a team of researchers from KAIST introduced SYNCDIFFUSION, a groundbreaking module that aims to enhance the generation of panoramic images using pretrained diffusion models ...