LAUSR

Towards Private Learning on Decentralized Graphs With Local Differential Privacy

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2022.3198283

Abstract: Many real-world networks are inherently decentralized. For example, in social networks, each user maintains a local view of a social graph, such as a list of friends and her profile. It is typical to collect… read more here.

Keywords: towards private; learning decentralized; local differential; privacy ... See more keywords