Back to Search
Start Over
Federated Analytics: A survey
- Source :
- APSIPA Transactions on Signal and Information Processing, Volume 12, Issue 1, 2023
- Publication Year :
- 2023
-
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.<br />Comment: To appear in APSIPA Transactions on Signal and Information Processing, Volume 12, Issue 1
- Subjects :
- Computer Science - Machine Learning
Computer Science - Cryptography and Security
Subjects
Details
- Database :
- arXiv
- Journal :
- APSIPA Transactions on Signal and Information Processing, Volume 12, Issue 1, 2023
- Publication Type :
- Report
- Accession number :
- edsarx.2302.01326
- Document Type :
- Working Paper