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A Secure Federated Data-Driven Evolutionary Multi-objective Optimization Algorithm
To address this issue, this paper proposes a secure federated data-driven evolutionary multi-objective optimization algorithm to protect both the raw data and the newly infilled solutions obtained by optimizing the acquisition function conducted on the server.
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