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Hans Shih-Han Wang
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2020 – today
- 2024
- [i4]Panyi Dong, Zhiyu Quan, Brandon Edwards, Hans Shih-Han Wang, Runhuan Feng, Tianyang Wang, Patrick Foley, Prashant Shah:
Privacy-Enhancing Collaborative Information Sharing through Federated Learning - A Case of the Insurance Industry. CoRR abs/2402.14983 (2024) - 2022
- [i3]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, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus H. Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier E. Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, et al.:
Federated Learning Enables Big Data for Rare Cancer Boundary Detection. CoRR abs/2204.10836 (2022) - 2021
- [i2]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, Micah J. Sheller, Sarthak Pati, Prakash Narayana Moorthy, Hans Shih-Han Wang, Prashant Shah, Spyridon Bakas:
OpenFL: An open-source framework for Federated Learning. CoRR abs/2105.06413 (2021) - 2020
- [i1]Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards, Jason Martin:
Toward Few-step Adversarial Training from a Frequency Perspective. CoRR abs/2010.06545 (2020)
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