Federated Analytics: A survey. (arXiv:2302.01326v1 [cs.LG])

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 existing solutions and potential use case applications for different FA
queries.