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Distributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health
Lecture Notes in Computer Science. Cham: Springer Nature, 2022
Abstract
Distributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health Shadi Albarqouni· Spyridon Bakas· Sophia Bano· M. Jorge Cardoso· Bishesh Khanal· Bennett Landman· Xiaoxiao Li· Chen Qin· Islem Rekik· Nicola Rieke· Holger Roth· Debdoot Sheet· Daguang Xu (Eds.) LNCS 13573 Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health Third MICCAI Workshop, DeCaF 2022 and Second MICCAI Workshop, FAIR 2022 Held in Conjunction with MICCAI 2022 Singapore, September 18 and 22, 2022 Proceedings Page 2 Lecture Notes in Computer Science 13573 Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking …
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Cite (BibTeX)
@article{albarqouni2022distributed,
author = {Albarqouni, Shadi and Bakas, Spyridon and Bano, Sophia and Cardoso, M Jorge and Khanal, Bishesh and Landman, Bennett and Li, Xiaoxiao and Qin, Chen and Rekik, Islem and Rieke, Nicola and others},
journal = {Lecture Notes in Computer Science. Cham: Springer Nature},
title = {Distributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health},
year = {2022}
}