Abstract: Federated deep learning is the method of choice for performing deep learning in environments where data sharing is not allowed due to privacy/security issues. However, all of the solutions ...

Abstract: This article investigates the distributed optimization problem for nonlinear multiagent systems (MASs) with full-state time-varying constraints and unknown nonidentical control directions ...

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