Interaction is necessary for distributed learning with privacy or communication constraints

11 Nov 2019Yuval DaganVitaly Feldman

Local differential privacy (LDP) is a model where users send privatized data to an untrusted central server whose goal it to solve some data analysis task. In the non-interactive version of this model the protocol consists of a single round in which a server sends requests to all users then receives their responses... (read more)

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