29 citations · 43 across the 4 of their papers we have counts for
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cs.LG2019
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
Federated learning (FL) is a machine learning setting where many clients (e.g. mobile devices or whole organizations) collaboratively train a model under the orchestration of a cen…
cs.LG2019
The Privacy Blanket of the Shuffle Model
Borja Balle, James Bell, Adria Gascon +1
This work studies differential privacy in the context of the recently proposed shuffle model. Unlike in the local model, where the server collecting privatized data from users can…