Web: http://arxiv.org/abs/2302.01326

Feb. 3, 2023, 2:10 a.m. | Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Shanshan Han, Shantanu Sharma, Chaoyang He, Sharad Mehrotra, Salman Avestimehr

cs.CR updates on arXiv.org arxiv.org

Federated analytics (FA) is a privacy-preserving framework for computing data
analytics over multiple remote parties (e.g., mobile devices) or silo-ed
institutional entities (e.g., hospitals, banks) without sharing the data among
parties. Motivated by the practical use cases of federated analytics, we follow
a systematic discussion on federated analytics in this article. In particular,
we discuss the unique characteristics of federated analytics and how it differs
from federated learning. We also explore a wide range of FA queries and discuss
various …

analytics federated analytics survey

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