Web: http://arxiv.org/abs/2201.08494

Jan. 24, 2022, 2:10 a.m. | Isha Garg, Manish Nagaraj, Kaushik Roy

cs.LG updates on arXiv.org arxiv.org

Advances in Federated Learning and an abundance of user data have enabled
rich collaborative learning between multiple clients, without sharing user
data. This is done via a central server that aggregates learning in the form of
weight updates. However, this comes at the cost of repeated expensive
communication between the clients and the server, and concerns about
compromised user privacy. The inversion of gradients into the data that
generated them is termed data leakage. Encryption techniques can be used to …

arxiv data

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