Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure

arXiv:2405.15258v1 Announce Type: new
Abstract: AI-enabled critical infrastructures (ACIs) integrate artificial intelligence (AI) technologies into various essential systems and services that are vital to the functioning of society, offering significant implications for efficiency, security and resilience. While adopting decentralized AI approaches (such as federated learning technology) in ACIs is plausible, private and sensitive data are still susceptible to data reconstruction attacks through gradient optimization. In this work, we propose Compressed Differentially Private Aggregation (CDPA), a leakage-resilient, communication-efficient, and carbon-neutral approach …

aggregation ai-enabled artificial artificial intelligence arxiv carbon critical critical infrastructure critical infrastructures cs.cr decentralized efficiency federated federated learning infrastructure integrate intelligence resilience resilient security services society systems technologies technology