activity
20182025
most citedThe MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning

4 citations · 4 across the 1 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2020

Toward Few-step Adversarial Training from a Frequency Perspective

Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards +1

We investigate adversarial-sample generation methods from a frequency domain perspective and extend standard Projected Gradient Descent (PGD) to the frequency domain.…

cs.LG2018

Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation

Micah J Sheller, G Anthony Reina, Brandon Edwards +2

Deep learning models for semantic segmentation of images require large amounts of data. In the medical imaging domain, acquiring sufficient data is a significant challenge. Labelin…