Exploring Strategies for Privacy-Preserving Machine Learning in Distributed Environments
Suresh Dodda, Anoop Kumar, Navin Kamuni, Madan Mohan Tito Ayyalasomayajula
Abstract
Machine Learning (ML) with distributed privacy preservation is growing in significance as it focuses on facilitating multi-party learning without requiring actual data sharing. This is especially helpful for companies that want to work together but ar
Topics & Concepts
Computer scienceDistributed learningArtificial intelligenceInternet privacyHuman–computer interactionComputer securitySociologyPedagogyPrivacy-Preserving Technologies in Data