Trustworthy AI using Confidential Federated Learning: Federated learning and confidential computing are not competing technologies. Guo, J., Pietzuch, P. R., Paverd, A., & Vaswani, K. ACM Queue, 03, 2024.
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Paper bibtex @article{journals/queue/GuoPPV24,
added-at = {2025-01-19T00:00:00.000+0100},
author = {Guo, Jinnan and Pietzuch, Peter R. and Paverd, Andrew and Vaswani, Kapil},
biburl = {https://www.bibsonomy.org/bibtex/218ff0d6cb39618259382e782909bcb60/dblp},
ee = {https://www.wikidata.org/entity/Q131121383},
interhash = {74adfced0e5621b14386e695e0506cea},
intrahash = {18ff0d6cb39618259382e782909bcb60},
journal = {ACM Queue},
keywords = {dblp},
month = {03},
number = 2,
timestamp = {2025-01-27T07:12:53.000+0100},
title = {Trustworthy AI using Confidential Federated Learning: Federated learning and confidential computing are not competing technologies.},
url = {http://dblp.uni-trier.de/db/journals/queue/queue22.html#GuoPPV24},
volume = 22,
year = 2024
}
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