Efficient and Secure Quantile Aggregation of Private Data Streams
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3272775
Abstract: Computing the quantile of a massive data stream has been a crucial task in networking and data management. However, existing solutions assume a centralized model where one data owner has access to all data. In… read more here.
Keywords: secure quantile; data streams; private data; secure ... See more keywords