Abstract: This paper introduces FedAlign, a novel Federated Learning (FL) framework with state alignment tailored for System Identification (SYSID) tasks. We show that when local workers learn ...
Abstract: This paper presents a novel aperiodic sensing scheme for reconstructing the dynamics of a nonlinear continuous-time system online using the Chebyshev pseudospectral (PS) method. Unlike ...
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