Abstract: Federated learning (FL) enhances data privacy and compliance with data regulations by enabling multiple decentralized parties to collaboratively train machine learning models without sharing ...
Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) pose significant challenges due to shifting objectives and fragmented feasible regions. To address these, we propose DCEMOA, ...
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