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arXiv · 2302.01326

Federated Analytics: A survey

Ahmed Roushdy Elkordy·Yahya H. Ezzeldin·Shanshan Han·Shantanu Sharma·Chaoyang He·Sharad Mehrotra·Salman Avestimehr
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Abstract

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.

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Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Shanshan Han, Shantanu Sharma, Chaoyang He, Sharad Mehrotra, Salman Avestimehr. 2023-02-02. Federated Analytics: A survey. https://arxiv.org/abs/2302.01326

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