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When Evolutionary Computation Meets Privacy. (arXiv:2304.01205v1 [cs.NE])
cs.CR updates on arXiv.org arxiv.org
Recently, evolutionary computation (EC) has been promoted by machine
learning, distributed computing, and big data technologies, resulting in new
research directions of EC like distributed EC and surrogate-assisted EC. These
advances have significantly improved the performance and the application scope
of EC, but also trigger privacy leakages, such as the leakage of optimal
results and surrogate model. Accordingly, evolutionary computation combined
with privacy protection is becoming an emerging topic. However, privacy
concerns in evolutionary computation lack a systematic exploration, especially …
application big big data computation computing data distributed distributed computing emerging end machine machine learning motivation object performance privacy protection research results scope technologies trigger