Abstract: Federated Learning (FL) has emerged as a potential distributed learning paradigm that enables model training on edge devices (i.e., workers) while preserving data privacy. However, its ...
Abstract: The optimal tracking control problem for multiplayer differential game systems (MDGS) with unknown dynamics is investigated in this article. A two-stage asynchronous learning scheme is ...
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