Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving. (arXiv:2306.17370v1 [cs.NE])

Differential privacy (DP), as a promising privacy-preserving model, has
attracted great interest from researchers in recent years. Currently, the study
on combination of machine learning and DP is vibrant. In contrast, another
widely used artificial intelligence technique, the swarm intelligence (SI)
algorithm, has received little attention in the context of DP even though it
also triggers privacy concerns. For this reason, this paper attempts to combine
DP and SI for the first time, and proposes a general differentially private
swarm …

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