Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation. - Micah J. Sheller; G. Anthony Reina; Brandon Edwards; Jason Martin; Spyridon Bakas (BrainLes@MICCAI (1), 2018)

Toward Few-step Adversarial Training from a Frequency Perspective. - Hans Shih-Han Wang; Cory Cornelius; Brandon Edwards; Jason Martin (CoRR, 2020)

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging. - Sarthak Pati; Siddhesh P. Thakur; Megh Bhalerao; Ujjwal Baid; Caleb M. Grenko; Brandon Edwards; Micah J. Sheller; Jose Agraz; Bhakti Baheti; Vishnu Bashyam; Parth Sharma; Babak Haghighi; et al. (CoRR, 2021)

The Federated Tumor Segmentation (FeTS) Challenge. - Sarthak Pati; Ujjwal Baid; Maximilian Zenk; Brandon Edwards; Micah J. Sheller; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Jason Martin; Shadi Albarqouni; Yong Chen 016; Russell Taki Shinohara; et al. (CoRR, 2021)

OpenFL: An open-source framework for Federated Learning. - G. Anthony Reina; Alexey Gruzdev; Patrick Foley; Olga Perepelkina; Mansi Sharma; Igor Davidyuk; Ilya Trushkin; Maksim Radionov; Aleksandr Mokrov; Dmitry Agapov; Jason Martin; Brandon Edwards; et al. (CoRR, 2021)

Federated Learning Enables Big Data for Rare Cancer Boundary Detection. - Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah J. Sheller; Hans Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; et al. (CoRR, 2022)

Attri-Fed: A GIB Framework for Attribute-Based Privacy and Communication-Efficient Federated Learning. - Ahmet Faruk Saz; Yashas Malur Saidutta; Faramarz Fekri; Mustafa Riza Akdeniz; Brandon Edwards; Nageen Himayat (SPAWC, 2023)

Efficient Privacy Auditing in Federated Learning. - Hongyan Chang; Brandon Edwards; Anindya S. Paul; Reza Shokri (USENIX Security Symposium, 2024)

Privacy-Enhancing Collaborative Information Sharing through Federated Learning - A Case of the Insurance Industry. - Panyi Dong; Zhiyu Quan; Brandon Edwards; Hans Shih-Han Wang; Runhuan Feng; Tianyang Wang; Patrick Foley; Prashant Shah (CoRR, 2024)

Privacy preservation for federated learning in health care. - Sarthak Pati; Sourav Kumar; Amokh Varma; Brandon Edwards; Charles Lu 001; Liangqiong Qu; Justin J. Wang; Anantharaman Lakshminarayanan; Shih-han Wang; Micah J. Sheller; Ken Chang; Praveer Singh; et al. (Patterns, 2024)

Federated learning as a catalyst for digital healthcare innovations. - Guang Yang; Brandon Edwards; Spyridon Bakas; Qi Dou 001; Daguang Xu; Xiaoxiao Li; Wanying Wang (Patterns, 2024)