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pro vyhledávání: '"Németh, Gergely Dániel"'
Federated Learning (FL) has been proposed as a privacy-preserving solution for machine learning. However, recent works have reported that FL can leak private client data through membership inference attacks. In this paper, we show that the effectiven
Externí odkaz:
http://arxiv.org/abs/2311.17750
Publikováno v:
Transactions on Machine Learning Research, 2022
Federated learning (FL) has been proposed as a privacy-preserving approach in distributed machine learning. A federated learning architecture consists of a central server and a number of clients that have access to private, potentially sensitive data
Externí odkaz:
http://arxiv.org/abs/2210.04607