Randomized average consensus based on additive privacy sharing

Key Points

• Additive privacy sharing improves security while computing the randomized average consensus.
• The method achieves privacy preservation with minimal impact on accuracy during data aggregation.
• Distributed algorithms facilitate real-time data processing, enhancing system efficiency without compromising user confidentiality.
• Findings may enable broader applications in fields requiring secure data sharing and aggregation.