Federated Analytics: A Survey

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

doi:10.1561/116.00000063

Federated Analytics: A Survey

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

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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.

Original language	English
Article number	e4
Journal	APSIPA Transactions on Signal and Information Processing
Volume	12
Issue number	1
DOIs	https://doi.org/10.1561/116.00000063
State	Published - 1 Jan 2023
Externally published	Yes

Keywords

distributed computing
Federated analytics
privacy

ASJC Scopus subject areas

Signal Processing
Information Systems

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10.1561/116.00000063

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AU - Han, Shanshan

AU - Sharma, Shantanu

AU - He, Chaoyang

AU - Mehrotra, Sharad

AU - Avestimehr, Salman

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Federated Analytics: A Survey

Abstract

Keywords

ASJC Scopus subject areas

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