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

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)

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)