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pro vyhledávání: '"Whitherspoon, Shalisha"'
Autor:
Ludwig, Heiko, Baracaldo, Nathalie, Thomas, Gegi, Zhou, Yi, Anwar, Ali, Rajamoni, Shashank, Ong, Yuya, Radhakrishnan, Jayaram, Verma, Ashish, Sinn, Mathieu, Purcell, Mark, Rawat, Ambrish, Minh, Tran, Holohan, Naoise, Chakraborty, Supriyo, Whitherspoon, Shalisha, Steuer, Dean, Wynter, Laura, Hassan, Hifaz, Laguna, Sean, Yurochkin, Mikhail, Agarwal, Mayank, Chuba, Ebube, Abay, Annie
Federated Learning (FL) is an approach to conduct machine learning without centralizing training data in a single place, for reasons of privacy, confidentiality or data volume. However, solving federated machine learning problems raises issues above
Externí odkaz:
http://arxiv.org/abs/2007.10987